Head of Machine Learning & AI

Bioinformatics Engineer, London

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  You will collaborate to build a high-fidelity biological data layer that serves as the foundation for machine learning at Isomorphic Labs. Moving beyond raw data ingestion to create curated biological datasets, you will ensure model training is consistently grounded in high-quality, standardized, and version-controlled biological data. Harmonizing disparate public datasets and internal data into a coherent representation, you will unlock the information needed to fuel our mission to solve all disease. Working in an interdisciplinary environment, you will partner with ML Research, Computational Biology, Drug Development, and Chemistry teams to drive the adoption of standardized bioinformatics primitives and best practices into their daily workflows. Your work will provide projects with a significant head start by solving complex bioinformatics problems at the platform level. Ultimately, your contribution ensures that our models are built on a robust and integrated data resource, producing predictions on a coherent view of biology, directly accelerating our Drug Discovery programs. WHAT YOU WILL DO  * Develop and operate large-scale bioinformatics pipelines for high-throughput data analysis, ensuring reliable processing from raw data (e.g., FASTQ, BAM, mzXML) to ML-ready datasets. * Apply bioinformatics best practices to the ingestion and harmonization of complex datasets, ensuring model training is grounded in high-quality, version-controlled biological data, and coherently integrated datasets. * Harmonise disparate public databases (e.g., Ensembl, UniProt, Reactome, Open Targets), implementing rigorous versioning and mapping strategies to mitigate identifier collisions, data loss, and semantic drift across releases. * Act as a strategic partner to our ML Research, Computational Biology, Drug Development, and Chemistry teams, championing the adoption of the internal bioinformatics platform and standardized biological data primitives into their daily research workflows. * Participate in research projects as a "Deployed Engineer", providing customised solutions, and identifying technical gaps, while ensuring project-specific insights are contributed back into the core bioinformatics platform. * Provide documentation, guidance, and training on data resources and curation processes to the wider organization. SKILLS AND QUALIFICATIONS  ESSENTIAL: * Proven experience with the large-scale processing of raw bioinformatics data (e.g., FASTQ, BAM, mzXML). * A demonstrable track record of delivering high-quality bioinformatics outputs across varied modalities (e.g., genomics, proteomics, functional genomics, systems biology, single cell). * Experience delivering bioinformatics solutions directly to research teams, scientific communities, or industry projects, with a strong focus on user enablement. * Experience writing production-grade code in Python and developing automated, scalable bioinformatics pipelines. * PhD or MSc in Bioinformatics, Computational Biology, or a related field, or equivalent practical experience in a biopharmaceutical or research environment. NICE TO HAVE: * Experience with domain-specific workflow systems (e.g., Nextflow) for scaling high-throughput pipeline execution. * Familiarity with general-purpose data orchestration and processing frameworks (e.g., Dagster, Apache Beam) for integrating research pipelines into a production platform * Familiarity with building and maintaining bioinformatics infrastructure on Google Cloud Platform (GCP). * Familiarity with modern, high-performance DataFrame libraries (e.g., Polars), and relational data modeling and analysis (SQL). * Exposure to machine learning concepts and the specific data requirements for training ML models. * Demonstrable experience working with regulated PHI data. * Extensive experience in software development with Python. CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Technology Manager, AI & Data

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

Associate Product Manager

Capital on Tap

We’re Capital on Tap 👋 💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.  1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!  🏡🏢This is a Hybrid role, 3 days a week in the London office What You’ll Be Doing We’re growing our Product team and are seeking an Associate Product Manager with a track record of hard work, customer obsession and delivering great outcomes. * Delivering features and projects that drive customer and business impact * Collaborating with senior stakeholders across the company to align on commercial and operational objectives * Running a mission team of engineers with an eye on delivery and customer outcomes.  * Excelling at delivery. Getting the project over the line. Motivating those nearby to make hard things seem easy * Help Capital on Tap achieve long term strategic dominance in SME industry We’re looking for This role is for someone who’s ready to shoulder individual responsibility for end to end development and delivery of features that align with business and customer needs. This person needs to be highly driven and self-motivated and will be rewarded by having a direct impact on customer outcomes and by collaborating with senior stakeholders across our business. We require someone with * 2+ years of experience in product management or project management * Strong commercial intuition, entrepreneurial spirit and foundational gut instinct * Strong organisational skills to thrive in chaos and remain calm among every day pressure of workload and delivery. * Strong communication skills to keep people aligned and mission teams humming along * Strong interpersonal skills to make hard work rewarding, sustainable and nourishing * The ability to synthesise large amounts of information and distil a problem down to its essence Interview Process 🤝 🤝First stage: 30 minute intro and values call with Talent Partner (Video call) 🤝Second stage: 45 minute CV overview with Senior PM in relevant area (ln person) 🤝Final stage: 45 minute interview with Head of Department (In person) Diversity & Inclusion 🌈 We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits: 🏥 Private Healthcare including dental and opticians services through Vitality ✈️ Worldwide travel insurance through Vitality 🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical) 👛 Salary Sacrifice Pension Scheme up to 7% match 🚘 Octopus EV Salary Sacrifice Scheme 🏖️ 28 days holiday (plus bank holidays) 📖 Annual Learning and Wellbeing Budget 👪 Enhanced Parental Leave 🚲 Cycle to Work Scheme 🚂 Season Ticket Loan 💬 6 free therapy sessions per year 🐶 Dog Friendly Offices 🍫 Free drinks and snacks in our offices Check out more of our benefits, values and mission here. Other Info 👍Check out our ‘Top Tips’ for interviewing. ✔️Keep updated on new job opportunities by following us on Linkedin. 📧Email careers@capitalontap.com if you have any questions. Excited to work here? Apply! If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)