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About the Role Sequential is building a next-generation AI-driven discovery platform to identify and design novel functional actives, including peptides and complex ingredient systems. The platform integrates large-scale biological datasets (>50,000 samples and measurements) spanning multi-omics data, microbiome sequencing, clinical and real-world outcomes. Our goal is to translate biological signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation • We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy and technical ownership. The Data You Will Work With The platform is built on a growing dataset of >50,000 biological samples and measurements, including paired pre- and post-treatment observations. The data includes multiple modalities such as microbiome sequencing (16S rRNA sequencing, ITS sequencing, shotgun metagenomics), Multi-omics (proteomics, lipidomics, metabolomics), Clinical and observational data (treatment exposure, formulation and ingredient combinations, clinical outcomes, patient metadata). Datasets include longitudinal measurements, enabling analysis of biological response to interventions (e.g., ingredient exposure, treatment, formulation). 1) Build the discovery engine (data → signal → candidate) ● Develop models that identify novel functional actives from multi-omic datasets ● Detect patterns in biological signatures that correlate with clinical outcomes (e.g., inflammation reduction, microbiome restoration, barrier repair, malodour reduction) ● Create robust feature representations from: o microbiome sequencing (16S/ITS/shotgun) o gene expression / transcriptomics o lipidomics / proteomics / metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule–host pathway effects o omics signature prediction o clinical response forecasting o safety and developability scoring ● Translate model outputs into interpretable mechanistic narratives for R&D teams and external partners. 3) Design and optimise functional complexes ● Implement multi-objective optimisation and scoring frameworks to balance: o efficacy / predicted response o safety and stability constraints o manufacturability and cost o regulatory feasibility ● Support generation of: o intelligent ingredient complexes o repurposed peptides o newly discovered natural peptides 4) Productionise the AI product launch ● Build end-to-end ML pipeline covering ingestion, training, evaluation and deployment ● Develop APIs/services to serve predictions and ranked candidates into internal tools and client outputs ● Create evaluation harnesses to compare predicted vs. observed validation outcomes ● Implement monitoring and governance: drift, data quality checks, model versioning, auditability 5) Collaborate cross-functionally ● Work closely with biology, formulation, and clinical teams to design experiments and validation loops ● Partner with product and commercial teams to shape “client-ready” deliverables (e.g., ranked actives, evidence packs, scientific dossiers) ● Lead and /or partner with ML and software teams to define ownership boundaries code reviews norms, and the path fron prototype to a maintained service. 12-Month Mission Month 0–3: Foundation & Proof of Concept ● Establish harmonised datasets and core data pipelines with dataset versioning, documented schemas, and baseline QC checks ● Deliver feasibility screening models for active discovery with an agreed split strategy (sample, cohort, and time splits) and reporting baseline ranking metrics (e.g., hit-rate@K, NDCG@K) ● Build initial predictive baselines with clear metrics Month 3–6: Modelling & Optimisation ● Implement multi-criteria scoring + optimisation with a defined objective, weighting strategy, and ablation plan ● Extend predictive models and improve candidate ranking performance ● Develop reproducible experiment tracking and evaluation workflows Month 6–9: Advanced Validation ● Compare predictions against real validation outputs and refine models ● Improve robustness, interpretability, and governance ● Deliver a performance report suitable for internal and external stakeholders Month 9–12: Client Readiness & Pilot Launch ● Finalise v1.0 AI product outputs (ranked candidates + evidence summaries) ● Support pilot client projects and accelerate validation turnaround time ● Contribute to the first commercial-ready “hero” functional complex pipeline What we’re looking for Essential ● Strong Python and experience building ML systems end-to-end with evidence (links to shipped projects, tools, or repos) ● Proven ability to work with large, messy real-world datasets and to define leakage-safe validation splits (e.g., sample, time, cohort) ● Practical knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch / TensorFlow / JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across product and science (prioritisation, tradeoffs, and shipping) ● Comfort deploying models (batch + real-time inference) into production environments or owning the handoff to engineering with clear interfaces Strongly preferred • Experience with biological or high-dimensional scientific datasets (omics, imaging, microbiome, clinical), • Experience with multi-modal learning, embeddings, or representation learning, • Familiarity with optimisation / ranking / multi-objective scoring systems, • Interest in mechanism-driven modelling and scientific interpretability, • Foundation model experience (LLMs and/or biological foundation models) with proof (fine-tuning/adapters or applied FM pipelines, plus how it was evaluated), • A strong portfolio of tool or pipeline development (internal platforms, evaluation harnesses, reproducible workflows) Nice to have • Experience building developer-friendly tooling: CLIs, dashboards, APIs, or reusable libraries used by other scientists/engineers, • Some front-end/product sense (you care about shipping usable tools, not just notebooks), • Experience with causal inference, Bayesian methods, or mechanistic simulation

Job Title Postdoctoral Researcher (Computational Chemistry) - 2 year Fixed-Term contract About Us We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act: how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. You can find out more about us on https://www.slb.com/who-we-are. Location Cambridge, England SLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centers. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry. SLB Cambridge Research is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2 of laboratory space and offices for more than 100 scientists, technicians, and domain experts. Job Summary We are seeking a postdoctoral researcher in computational chemistry to develop molecular modeling and simulation approaches for energy, materials, and sustainability applications. The role will focus on accelerating chemical and materials discovery and translating molecular-level insight into practical engineering solutions. Application areas may include carbon capture with solvents and sorbents, membranes, catalysts, electrochemistry, and oilfield chemistry. Key Responsibilities • Develop molecular modeling workflows to study molecular interactions, reactivity, adsorption, solvation, and interfacial chemistry., • Perform screening, property prediction, and formulation design for chemical and materials systems., • Translate simulation results into actionable guidance for experimental scientists and engineers., • Work with multidisciplinary teams to connect molecular-scale insight with applied technology development., • Contribute to patents, publications, reports, and scientific discussions. What the Postdoctoral Researcher Will Gain • Experience applying computational chemistry to real-world energy and sustainability challenges., • Exposure to discovery, modeling, validation, and engineering translation., • Collaboration with experts across chemistry, materials science, chemical engineering, data science, and energy technologies., • Opportunities to engage with university and industry partners., • A stronger research portfolio and professional network for careers in industry, academia, or applied research. Essential Requirements • Doctor of Philosophy (PhD) in computational chemistry, physical chemistry, chemical engineering, materials science, physics, or a related physical science., • Expertise in molecular mechanics, molecular dynamics, force fields, and density functional theory (DFT)., • Experience with conductor-like screening model methods, including conductor-like screening model for real solvents (COSMO-RS), and quantitative structure-activity relationship models., • Strong programming and data analysis skills., • Ability to develop models, make assumptions explicit, and communicate results clearly., • Publication record in reputable peer-reviewed journals. Desirable Skills • Familiarity with cheminformatics., • Experience with machine-learned potentials, DFT-informed machine learning, or surrogate modeling., • Knowledge of carbon capture, porous materials, membranes, electrochemistry, or oilfield chemical systems., • Experience with high-performance computing and reproducible computational workflows. What We Can Offer You Competitive base salary, private healthcare for employee and family, subsidized dental care, Health & Wellbeing programs such as the Employee Mental health support, health & wellness coaching, part employer and employee funded pension contribution, Income protection scheme, life insurance. Other benefits are also available through the SLB flexible benefits program. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.

Applied experience in machine learning, AI engineering, or data science. Coach – Applied AI Engineering (Level 6) | Machine Learning. We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme.

BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled to ask the questions that lead to innovation. As a [Job Title] at BPM UK, you will be part of an exciting growth journey as we establish and expand our UK presence. BPM has a strong global advisory focus, and the UK team is at the forefront of this expansion. Our people-first culture sets us apart—we combine the best of UK business practices with the backing and resources of a well-established international firm. You will work with ambitious, high-growth clients, including recognizable UK brands, as they navigate the complexities of international expansion. At BPM, we take a true advisory approach, partnering with clients throughout their business lifecycle to provide strategic insights across tax, finance, and business operations. At BPM, you will broaden your skills, challenge yourself, and make a difference for your colleagues and communities. Our entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. What You Get:International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients.Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events.Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies to North American businesses expanding internationally.A Strong, People-First Culture – We prioritize work-life balance, career development, and flexibility, setting us apart from traditional firms.Professional Growth & Development – Support for ACA, AAT, and other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside the firm at scale. You’ll take AI tools and models and embed them into BPM’s day-to-day operations, ensuring they deliver real business value. In this role, you’ll design and develop AI-powered applications — from chatbots and copilots to workflow automations — that streamline processes across Tax, Assurance, Advisory, and our Corporate Services Team. You’ll partner with teams to spot opportunities where AI can cut manual effort, increase accuracy, and speed up delivery, then turn those opportunities into working solutions. At BPM, this isn’t about chasing hype — it’s about applying AI where it matters most and seeing your work make an immediate impact. You’ll be part of standing up a brand-new AI-focused development team, not only building solutions but also shaping the team’s processes, tools, and standards. This is a chance to learn new technologies, push technical boundaries, and set the foundation for how AI gets delivered across the firm. Success in this role means turning ideas into reliable solutions colleagues can depend on — helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation. AI Integration: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform. Automation: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices. Collaboration: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals. Experimentation & Innovation: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Governance & Quality: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards. • Strong background in machine learning, data science, and applied AI., • Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools., • Experience building chatbots, copilots, or similar AI-driven automation., • Solid programming skills with Python., • Knowledge of MCP (Model Context Protocol) is a plus., • Experience preparing datasets and building ML pipelines., • Familiarity with product development lifecycles and agile delivery practices., • Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data., • Strong problem-solving skills with ability to translate business needs into AI solutions., • Excellent collaboration and communication skills to work across technical and non-technical teams., • Ability to explain complex AI concepts simply to stakeholders., • Bachelor’s degree in a relevant field along with at least 5 years of related work experience, • Experience with cloud platforms (Azure preferred), • Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas., • Knowledge of enterprise data governance, compliance, and responsible AI practices., • Prior experience in professional services (accounting, consulting, or similar) a plus., • At least 1 year of applied AI experience, • Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments., • Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK., • Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency., • Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases., • Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices., • Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders., • Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM., • Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies., • Able to adjust quickly to the fast-evolving AI/ML landscape, • Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership., • Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership., • Naturally curious, persuasive, and motivated to drive adoption of innovative technologies., • Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations., • Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases., • Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs., • Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments., • Persistent and results-oriented, with a track record of seeing projects through to completion. $150,000 - $180,000 a yearThe salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications.Wondering if you should apply? At BPM we are people who value people. We are progressive and purposeful. We are a firm with flexibility. Our shared entrepreneurial spirit drives us to see and do things differently. And our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. BPM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Please note - this posting is for prospective candidates only. Unsolicited third-party resume submissions will be considered property of BPM and will not be acknowledged or returned. About BPM UK: BPM is an established global advisory firm, and our UK expansion is a key part of our growth journey. We specialise in partnering with clients throughout their business lifecycle, supporting everything from domestic tax and audit compliance to international expansion strategies. Unlike traditional firms, BPM offers a true global advisory experience, ensuring clients receive proactive, strategic guidance. Our UK team brings together the best of UK business practices with BPM’s international expertise, fostering a collaborative, flexible, and people-first culture. We are looking for driven professionals who are excited to be part of something new—helping shape BPM’s future in the UK while working with some of the most dynamic and recognisable brands in the market.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

Driving commercially-focused services and solutions for advanced engineering materials Cambridgeshire; to £58,000 plus benefits This well-established company has a leading global presence in advanced materials for use in engineering and research, with a host of related services. Recent acquisitions bring new opportunities. As Product Manager in a key new area you will drive commercial direction, services and solutions development and oversee the future integration with a large existing product portfolio. Wide-ranging, tailored technical services will be further refined to clear, structured and successful product offerings. You will have: • A strong background in applied engineering (including for instance materials selection, characterisation), advanced materials science, or related laboratories., • Taken an analytical, data-driven approach to reviewing products and services, and understanding the needs of the customer base and broader market., • A strong commercial focus, taking ownership of performance, refining product lines strategically, and applying your technical and organisational insights to drive success., • The capability to own information architecture, discoverability and customer acquisition, offering input into go-to-market strategy, value proposition and pricing., • The ability to lead product manag...

Developing data analytic pipelines and novel methodologies for scientific applications Cambridge; £45,000 to £75,000 DoE + Benefits This hybrid-style role combines a healthy dose of data science analytics, scientific project understanding and Python software engineering. The role will work with experimental lab scientists to extrapolate key findings from their noisy data sets, developing reproducible processes to create software pipelines. The company is a Cambridge based start-up, working on molecular physics-based problems with applications in synthetic biology. They are testing the boundaries of scientific innovation through their expertise and applied knowledge. Whilst projects are very much at the prototype stage, they have commercial awareness and experience to take their technology to market. This is a key hire for the company, as the Research Scientist will play an important role from taking the science out of the lab and into a product platform. Initial projects will focus on computational analyses of time series data, developing relevant algorithms for event identification and characterisation, and support on-going experiments and projects. Requirements: • Degree and PhD in physics, chemistry, bioengineering, or similar., • Demonstrable project experience in data analysis applied to science areas such as electrochemistry, physiological measurements, or neurochemistry., • Excellent Python coding skills and understanding of good software engineering processes (version control, repositories, testing etc)., • Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this is a start-up, the expectation is that the role would be fully onsite with occasional hybrid working when projects allow. Further, no company sponsorship is available, so interested candidates should have unrestricted rights to work in the UK (candidates holding visas with time restrictions will not be taken forward). On offer is the chance to work in a dynamic company as they begin their growth and be compensated with an excellent remuneration package. Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD / Post-Doc, Start-Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27643) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate. JBRP1_UKTJ

As a Principal Researcher, you are expected to shape the strategic vision of our research initiatives and drive transformative breakthroughs in AI. This role is suited for individuals who excel at influencing organizational research priorities, overseeing multiple projects, and representing the team in high-level external partnerships. Principal Researchers are leaders who mentor senior staff, set policy, and ensure our research has a lasting impact on both the company and the broader scientific community. Our team operates in two main directions: Applying AI to the design and optimization of semiconductors Conducting fundamental research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy development Build and maintain relationships with key stakeholders, including academic, industry, and funding partners Publish and present research findings at top-tier conferences, journals, and industry forums Stay at the forefront of advancements in AI and related fields, identifying new opportunities for impact Qualifications & Expectations Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience Distinguished publication record in top conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL) Demonstrated ability to shape research strategy and oversee multiple projects Proven track record of driving breakthroughs and influencing research priorities Advanced proficiency in programming languages such as Python, C++, or similar Exceptional leadership, mentorship, and communication skills Experience representing research teams in external partnerships and policy forums Preferred: Deep expertise in optimization, reinforcement learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding TPBN1_UKTJ

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master’s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. * Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Keywords: Start-Up, Life Sciences / Biotech, Python, Platform Development, Machine Learning, Neural Networks, Data Science, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

Driving commercially-focused services and solutions for advanced engineering materials This well-established company has a leading global presence in advanced materials for use in engineering and research, with a host of related services. Recent acquisitions bring new opportunities. As Product Manager in a key new area you will drive commercial direction, services and solutions development and oversee the future integration with a large existing product portfolio. Wide-ranging, tailored technical services will be further refined to clear, structured and successful product offerings. You will have: • A strong background in applied engineering (including for instance materials selection, characterisation), advanced materials science, or related laboratories., • Taken an analytical, data-driven approach to reviewing products and services, and understanding the needs of the customer base and broader market., • A strong commercial focus, taking ownership of performance, refining product lines strategically, and applying your technical and organisational insights to drive success., • The capability to own information architecture, discoverability and customer acquisition, offering input into go-to-market strategy, value proposition and pricing., • The ability to lead product management credibly, liaising across departments, speaking with clients and peer organisations, planning, presenting and steering future directions. You will have the support of the organisation behind you and dedicated teams to draw upon in different technical areas. In addition to a competitive salary and strong benefits package, a commission scheme is planned. Hybrid working is available, up to 3 days from home per week from month two. Full UK work permission is required without time limit or sponsorship. Keywords: Product Management, materials, engineering, commercial focus, product owner, cross-discipline, hybrid work, Cambridgeshire Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27644) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate