Data Scientist

🌍 UK (Remote or Hybrid, it’s up to you!)

💰 Dependent on experience

📈 Be part of our success with the opportunity to join our company equity scheme

🦸‍♀️ The Role 🦸‍♀️

Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre

of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform

continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.

We're hiring a Data Scientist to join the team and help build and ship the next generation of that stack.

👉 What you'll be doing:

Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack:

extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right

solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at

all. This means you will:

Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine-tuning pipelines and

running experiments with rigour and clear documentation.

Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation — with support

and guidance from senior team members.

Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification,

extraction, and generative tasks.

Work on semantic search and retrieval, developing a strong working understanding of embedding-based approaches and the methods

that go beyond them.

Write clean, well-tested code and collaborate with Engineering on model integration, data pipelines, and monitoring.

Work with the wider Data Science team to translate business and product requirements into practical ML experiments and

solutions.

Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments.

🧰 What you’ll need:

A solid working knowledge of transformer architectures and how they are applied in NLP tasks.

Proficiency in PyTorch, including training loops and standard model fine-tuning workflows; exposure to parameter-efficient

techniques such as LoRA is a plus.

Experience working with real-world text data across tasks such as classification, extraction, embeddings, or search — at a

meaningful scale.

Some exposure to instruction fine-tuning or model serving, with an interest in going deeper.

A grounding in classical ML and statistics, and the instinct to reach for simpler methods when warranted.

Familiarity with GenAI and agentic patterns, even if hands-on production experience is still developing.

Clear communication skills and the ability to explain technical work to colleagues across functions.

Genuine curiosity about AI and a habit of experimenting — you learn by doing.

Good ownership instincts: you follow problems through rather than passing them on.

➕It would be a bonus if you:

MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field.

🔎 Our Hiring Process

1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your

ambitions, and what you’re looking for in your next step.

2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show

off your experience.

3. Show us how you work – you'll complete a short take home assignment

4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science,

Engineering and Product teams.

5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and

ensure we’re the right place for your next stage of growth.

Our Perks

🤸🏽‍♂️ Flexibility & Work Setup

Flexible working in a choice-first environment - we trust the way you want to work!

Work-from-home allowance to set up your ideal workspace

🌴 Time Off

25 days holiday + local bank holidays, plus an extra day for each year of service

Your birthday off

🌱 Growth & Ownership

Annual learning & development budget to support your growth (increasing over time)

Equity options — share in the company’s success

💚 Health & Wellbeing

Monthly health & wellbeing budget, increasing with length of service

Optional private healthcare plan

Life assurance & income protection (location dependent)

Employee Assistance Programme (location dependent) for extra support when you need it

Enhanced family leave (location dependent), plus fertility and neonatal leave

🌆 Office Perks

If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

💖 Our Values

We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice

what we preach.

We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always

communicate with openness and trust.

We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make

decisions in our area of responsibility is a crucial driver for us.

We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out

of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.

We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen

before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.

We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been

the result of the right people collaborating together – that’s why we need you to apply today!

🌈 Diversity & Inclusion 🌈

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a

mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us,

even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a

role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications

based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!

#machinelearning #machinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch #datascientist

Role

Data Scientist

Locations

Published

June 3

Deadline

August 16

Tags for this job

AI Machine Learning Go Rust

Similar Jobs

Senior Machine Learning Scientist

Chattermill

UK•Posted: Apr 8•Deadline: Aug 16

Senior Machine Learning Scientist 🌍 UK or Poland (Remote or Hybrid, it’s up to you!) 💰 Dependent on experience 📈 Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service 📚 Annual Learning and Development budget, increasing with length of service 🤸🏽‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! 🖥️ Work From Home Allowance 🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service 🎂 Your birthday off 🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan 🛟 Life & income protection (Location dependent) 🤝 Employee Assistance Programme (UK Only) 📈 The opportunity to share in the company’s success through options 🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 🦸‍♀️ The Role 🦸‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: * Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. * Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. * Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. * Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. * Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. * Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. * Mentor team members, review code and research, and bring relevant advances from the literature into the product. 🧰 What you’ll need: * A deep working knowledge of transformer architectures. * Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA * Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. * Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools * A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. * Practical experience building with GenAI and agentic patterns. * Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). * Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. * High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: * MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. * Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) 🔎 Our Hiring Process 1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. 2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. 3. Show us how you work – you'll complete a short take home assignment 4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. 5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. 💖 Our Values * We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. * We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. * We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. * We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. * We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. * We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈 We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch

AIMachine LearningRust

Forward Deployed Engineer (Perm, UK, Remote + Travel)

Nearform

UK•Posted: Jul 15•Deadline: Aug 16

Forward Deployed Engineer (Perm, UK, Remote + Travel) This is a full-time, permanent opportunity for candidates based in the UK. This position also requires frequent travel to client sites within Europe, with travel expenses covered by the company. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. About the role As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks. What we are looking for in this person: * Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience. * Experience designing and building agentic platforms using Python and modern AI frameworks. * Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies. * Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making. * Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources. * Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications. * The ability to configure Kubernetes and deploy workloads. * Design deployment architectures across cloud, on-premise, and hybrid environments. * Ability to collaborate efficiently in teams of technical and non-technical individuals. * Comfort working in a dynamic environment with evolving objectives and direct iteration with users. * Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems. Nice to have: * Hands-on experience working with Golang * Hands-on experience in the Frontend working with React * Deep understanding of Kubernetes Benefits & Perks: * Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. * Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! * Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more. * Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. * Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself. * Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. * Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind. Our Interview Process 1. 1. Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. ---------------------------------------------------------------------------------------------------------------------------------- 2. Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. ---------------------------------------------------------------------------------------------------------------------------------- 3. Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project READY TO JOIN US? If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help. Salary range - £75-£95,000 + bonus & benefits

Knowledge Graph Engineer (Perm, UK)

Nearform

UK•Posted: Jul 15•Deadline: Aug 16

Knowledge Graph Engineer (Perm, UK, Remote) This is a full-time, permanent opportunity for candidates based in the UK. Please note that visa sponsorship is not available for this role. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. What we are looking for in this person: * Professional experience as a Data Engineer, with strong focus on cloud-based data engineering using AWS * Strong expertise in Python development for production systems * Hands-on experience building and working with knowledge graphs * Strong experience with relational databases and enterprise data platforms * Demonstrated experience building high-quality data pipelines, including performance optimisation and diagnostics * Hands-on experience with Docker and containerised workloads * Experience creating and maintaining CI/CD pipelines * High standards for code quality, testing automation, and maintainable design * Strong problem-solving skills and ability to work independently in complex environments * Excellent communication and collaboration skills, with experience working in cross-functional teams Nice to have: * Experience with enterprise-scale data platforms * Interest in Generative AI and applied machine learning * Experience with SPARQL Benefits & Perks: * Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. * Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! * Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more. * Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. * Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself. * Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. * Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind. Our Interview Process 1. 1. Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. ---------------------------------------------------------------------------------------------------------------------------------- 2. Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. ---------------------------------------------------------------------------------------------------------------------------------- 3. Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project READY TO JOIN US? If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.