26 to 50 of 135 Machine Learning Jobs in the Thames Valley

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well‐defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large‐scale genomic and transcriptomic datasets … cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions ...

implement, and test innovative software solutions to address challenges in nanoscale microscopy and deliver value to customers. Experience with image processing, image analysis, or machine learning is beneficial. Debug and troubleshoot hardware/software integration issues at the system and signal level. Collaborate with hardware, firmware, and software … cultivates an inclusive culture. Desired skills and qualifications: Master's degree. Excellent programming skills in Python. Experience with image processing, image analysis, or machine learning pipelines. Experience developing embedded software or hardware-software integrated solutions. Experience developing microscopy or scientific software. At ONI, we understand that a fulfilling ...

translate novel techniques into practical ASP/PNT solutions. Improve the robustness of traditional algorithms for challenging, real-world data and systems. Use machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour. Support proposals, bids, and project delivery for research and development … comfortable applying hybrid white-box and black-box approaches to real engineering problems. Essential experience Experience implementing hybrid algorithms that combine classical and ML-based approaches. Applied experience in one or more of the following: feature extraction, data fusion, target tracking, image segmentation, image matching, sensor calibration, state estimation, anomaly ...

looking for a junior cheminformatics scientist to join a Genetic Medicine team. You'll use computer-based chemistry methods and AI/machine learning to help explore and design lipid molecules used in targeted lipid nanoparticles (a type of drug-delivery particle). You'll help build … looking for patterns that affect how well they work. Help build and improve a virtual library of lipid designs, using data analysis, AI/ML tools, and chemical know-how. Build and test models that predict how a lipid's structure affects its real-world performance. Create processes to select ...

across AWS and Snowflake. Work directly with customers to understand complex data problems and define the technical approach. Support data workflows feeding AI and machine learning applications. Improve data quality, validation, observability, and platform reliability. Help establish repeatable engineering standards and delivery practices. Lead technical workstreams … data quality, validation, and reliability. Interested in taking broader technical ownership rather than staying within a narrow engineering remit. Desirable Experience: AI or machine learning data workflows. Telemetry, IoT, or time-series data. Technical or project leadership. Experience within automotive, energy, industrial technology, or another engineering-led environment. ...

their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery of world-leading Earth … related international greenhouse-gas communities, together with knowledge of WMO G3W and its objectives Desirable experience and knowledge Experience with AI or machine-learning methods for Earth-system prediction, particularly for land-surface or carbon-cycle applications Experience developing scientific robust software and conducting large numerical experiments ...

Professor of Bioinformatics. The professorship will be held alongside a Fellowship at University College. The Department is at the forefront of developments in machine learning, data science, and computational methods for understanding complex biological systems, integrating these approaches into both its research and teaching. This role offers significant … develop and lead a world-class research programme in bioinformatics, helping to strengthen Oxford's position in areas such as statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science. We value the breadth of approaches that contribute to modern bioinformatics. ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion. The Core Math: Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design. … Frameworks: Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous. The Stack: Fluency across C++, MATLAB/Mathematica, and Python. The Background: Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience ...

organisation Work with other members of the Digital Biology Team to deliver a unified strategy Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards What We’re Looking For Strong background in bioinformatics, computational biology, or a related quantitative discipline : a postgraduate … proteomics, metabolomics) : from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware. What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment … model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real‐time systems, large‐scale data) Exposure to integrating machine learning, generative AI, or LLM‐based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for Financial Services clients. You will bring ML from lab to production, contributing to scalable software architecture and best-practice deployment. You will work with clients and cross-functional teams to ensure feasibility, timely delivery … high-quality, production-grade ML systems. Ideal candidates have hands-on experience with Python and ML frameworks, cloud platforms, and container orchestration. #J-18808-Ljbffr ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research. ...

Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal ...

proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from e-commerce functionality to machine learning. Take a quick look at our Engineering best practices, hear our engineers talk about their experience and opportunities to learn and grow ...