Senior Machine Learning Engineer

Senior Software Engineer (Elixir)

Sona

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VCs, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role We're hiring Senior Software Engineers to join our product teams and help build the next generation of workforce management. This isn't a traditional engineering role - at Sona, engineers are deeply embedded in the product development process, working directly with customers to understand their pain points and turning those insights into shipped solutions. AI tooling is central to how we work. Coding agents produce the majority of our code, and your job is to direct, correct, and architect - not type every line yourself. You'll use tools like Claude Code, Cursor, or similar as a core part of your daily workflow, and we'll assess that proficiency as part of the interview process. To do that well, you need strong Elixir expertise - enough to know when an agent's output is wrong and how to fix it. Day to day, you'll work within a cross-functional product team with significant autonomy over how to reach outcomes. You'll participate in defining features and scope from PR FAQs and kick-off conversations rather than picking up fully specified tickets. You'll also have the opportunity to rotate across different product domains throughout the year - scheduling, payroll, HR, staff engagement - giving you breadth that most engineering roles don't offer. This role is remote-first for anyone based in a European timezone, with quarterly in-person team alignment sessions and client workshops in London. It's not a fully isolated remote setup - you'll need flexibility to travel for the moments that matter. Responsibilities * Own features end-to-end across Sona's platform, from scoping through to delivery, including in the mobile app * Use AI development tooling as your primary workflow - directing and evaluating agent-produced code, not writing everything from scratch * Work directly with customers through workshops, feedback sessions, and discovery conversations to ensure what you build solves real problems * Collaborate closely with Product Managers and Product Designers to shape solutions from vague requirements and kick-off outputs * Contribute to multiple product domains across the year, building deep understanding of workforce management challenges * Participate in the product development process - challenging scope, suggesting approaches, and making pragmatic trade-offs between the ideal solution and the right one for now Requirements * You're a senior engineer who's comfortable owning features from scoping to production - not just executing against a spec * You have professional Elixir experience - enough to evaluate and correct agent-produced code in a production codebase * AI development tooling is already embedded in how you work, not something you've experimented with once or twice. You can articulate your workflows and demonstrate them under pressure * You care about understanding customer problems as much as solving technical ones, and you're comfortable being in front of customers directly * You communicate clearly and concisely - adapting for technical and non-technical audiences alike * You're pragmatic: you can let go of a strongly held opinion when the situation calls for it, and you make trade-offs consciously * Bonus: full-stack experience including React Native, background at a product-led engineering team or high-growth B2B SaaS company, or familiarity with HR/workforce management domains Benefits * Salary: £85-105k * Remote-first (Europe timezone) with quarterly in-person sessions and client workshops in London * Share options * 35 days annual leave (25 days standard plus 10 flexible public holiday days) * Extra day of leave for every year of service * Pension contributions matched up to 5% * Comprehensive health insurance * Enhanced parental leave & pay * Salary sacrifice childcare scheme (Workplace Nursery) * Co-working space stipend for those based outside London * Annual all expenses paid team retreats * The latest Macbook and equipment budget for your home office * Professional development budget * Unlimited free books Note: this represents a typical salary and benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

Senior Machine Learning Engineer

Hybrus AB

We are looking for a Senior ML Engineer for our client in Stockholm for a long term assignment. Employment type: Fixed Term Contract Duration : 6 Months - 1 Year Location : Stockholm Work type : Onsite ( potential hybrid options) As a Senior ML Engineer, you will be working hands-on to optimise training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Client reach and stay at the cutting edge of ML training and deployment, as well as explore new frontiers such as federated learning. The impact you will create: ● Lead the technical evaluation and implementation of Federated Learning (FL) initiatives . ● Work closely with Data Science, Android, and Backend teams to design and validate end-to-end FL workflows. ● Define and execute experimentation plans to assess the effectiveness of FL for use cases. ● Develop and optimize language models and on-device training pipelines for privacy-preserving machine learning. ● Establish model evaluation frameworks, success metrics, and validation strategies for FL-based systems. ● Identify technical risks, assumptions, and limitations, and provide recommendations on architecture and future direction. ● Help shape the roadmap for scaling FL from experimentation to production-ready systems What you bring in: ● 5+ years of experience in Machine Learning Engineering, Applied Machine Learning, or related fields. ● Hands-on experience with Federated Learning frameworks such as TensorFlow Federated, Flower, FedML, OpenFL, or equivalent. ● Strong understanding of distributed machine learning, model training, and model evaluation techniques. ● Experience working with NLP, language models, embeddings, or text classification systems. ● Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). ● Strong knowledge of machine learning frameworks such as TensorFlow and PyTorch. ● Experience designing and executing ML experiments, analyzing results, and driving data-driven decisions. ● Familiarity with privacy-preserving machine learning concepts and challenges. ● Ability to work across multiple teams and communicate complex technical concepts to both technical and non-technical stakeholders. ● Strong problem-solving skills and ability to operate in an exploratory research and PoC environment. It would be great if you also have: ● Experience deploying or operating Federated Learning systems in production environments. ● Hands-on experience with on-device machine learning technologies such as TensorFlow Lite, ONNX Runtime Mobile, or Core ML. ● Experience building machine learning solutions for mobile applications. ● Experience in messaging, spam detection, fraud detection, trust & safety, or similar domains. ● Familiarity with the challenges of running ML workloads on mobile devices. ● Experience with MLOps, model monitoring, and automated training/deployment pipelines. Please let us know if you are interested and if yes, then apply to careers@hybrus.se with your CV, including details about Salary, Notice period and Visa Status.

Senior Machine Learning Engineer

Accurx

💬 ACCURX IS WHERE CONVERSATIONS HAPPEN WITH AND ABOUT PATIENTS. For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication. What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices. Our platform now powers Total Triage to manage patient demand, and Self-Book, which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe, our AI-powered note-taker that drafts medical notes in real-time. THE TEAM We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need. We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. As a Senior Machine Learning Engineer, you'll join our Triage Intelligence team — a high-impact, cross-functional group of software engineers, Data Scientists, clinicians, and a Principal Product Manager. The team builds the intelligence that powers how Accurx understands healthcare communication across the entire product suite, with a current mission to interpret patient healthcare requests and enable fast, informed decisions about the next step in a patient's care. CHALLENGES YOU’LL SOLVE... * You will take ownership of the end-to-end technical design of ML systems - from data ingestion and training pipelines through to deployment and real-time monitoring - ensuring AI features are performant, observable, and easy to debug. * You will act as the primary technical partner to our Data Scientists, evolving experimental code into high-quality, extensible library modules and building reusable components that improve developer efficiency and reduce cycle times across the team. * You will translate complex clinical and product objectives into efficient computational tasks, selecting the right tools - whether Deep Learning, NLP, or off-the-shelf - and making smart build-vs-buy trade-offs that align with Accurx's long-term technical goals. * You will help turn one-off experiments into repeatable platform capabilities, building models and systems that can be adopted by other Accurx product teams and proactively resolving cross-team dependencies as new, more efficient AI models are rolled out. YOU SHOULD APPLY IF... * You have extensive experience with a variety of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the ability to select the right tool, not just the trendiest one, for a clinical problem. * You have a proven track record of taking models from a Jupyter notebook to a high-availability production environment, managing everything from data versioning to model serving. * You have mastery of a production-grade language (e.g. Python, C#, or Go), with a focus on writing extensible, modular libraries that other teams can adopt. * You have experience defining both offline metrics (how the model performs in training) and online metrics (how the model impacts real-world user behaviour and triage outcomes). * You bring collaborative rigour to design and code reviews, surfacing erroneous assumptions before they reach production, and can preemptively identify technical risks — such as data leakage or hardware constraints — before they jeopardise the product roadmap. Bonus points if you have… * Experience working with sensitive, regulated data (GDPR, HIPAA) and implementing privacy-first techniques like differential privacy or secure data handling. * Familiarity with infrastructure-as-code tools like Terraform, Kubernetes, or MLOps platforms such as SageMaker or Vertex AI. * Hands-on experience fine-tuning LLMs, prompt engineering, or managing the latency and cost trade-offs of large language models at scale. WHAT’S IN IT FOR ME? You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to fix healthcare communication. * £100,000 - £115,000 salary + share options up to £30,000 * Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life * Flexible working: We are an office first culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm * Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year * Family matters: We offer enhanced parental leave, fertility support and parental loss support * We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!