1 to 25 of 54 Machine Learning Jobs in the Thames Valley

to support high-throughput inference and real-time model serving capabilities Architect infrastructure for agentic systems, including multi-agent coordination, workflow orchestration, and autonomous decision-making pipelines Partner with ML teams actively developing models to onboard them to platform capabilities Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs Build … and maintain orchestration frameworks for complex ML workflows, including agent-based systems and multi-modal model pipelines Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view Create tools and experiences that support the development of models -- however you won't be responsible for building machine learning models The Team You'll Join The ML Infra team vision is to build and maintain a centralized platform composed of best-in-class tooling for machine learning, including intelligent agentic orchestration and LLM-powered capabilities. We strive to make machine learning easy and accessible across the organization by offering low barrier-to-entry solutions More ❯

Machine Learning Engineer – Onsite in Oxford Location: Oxford, UK Employment Type: Full-time, Onsite Are you passionate about applying cutting-edge machine learning to real-world challenges? This is an opportunity to work at the intersection of AI and advanced manufacturing , helping to optimize processes and material composition through innovative solutions. What You’ll Do Design … develop, and validate novel machine learning models to optimize manufacturing processes and material composition . Collaborate closely with process engineers, material scientists, and domain experts to identify and engineer meaningful features. Develop internal machine learning platforms to enable adoption and application of validated models. Work as part of a fast-paced, agile development team , identifying and … Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance. Essential Skills Master’s degree in Machine Learning, Mathematics, or Statistics . Strong understanding of probabilistic model development . Experience with Bayesian modelling . Solid grasp of software design principles and best practices . Proficiency More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech … printing , our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you’ll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly … printing , our client is transforming the way metal components are conceived, tested, and produced - enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer software applications with and on behalf of customers Identify application performance bottlenecks and implement optimizations Write application specifications, tutorials and documentation … we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. Experience making small-scale system and process … improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial … create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support … to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python More ❯

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity … Europe when you assemble the best talent. YOUR IMPACT Our stellarator design team is pushing the boundaries of today's technologies, directly integrating physics simulation with design engineering and machine learning workflows. We are building new tools and processes to drive fusion performance up and power plant costs down. As a Research Software Engineer, you will join our … to date with current software development best practices and tools, e.g. AI coding assistants or modern data pipelines and scheduling solutions. Enjoy diving into new problems with a continuous learning attitude, absorbing relevant domain knowledge. Additional experience with scientific C++ and Fortran libraries, HPC technologies, cloud computing, or web app development is a plus. INTERVIEW PROCESS Recruiter Interview ( min More ❯

ML Infrastructure Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a ML Infrastructure Engineer to design, implement, and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between … data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud-native systems. Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

used in bioinformatics and AI/ML. Skilled in scripting and automation using Python, Bash, and configuration management tools (Ansible, Terraform). Demonstrated experience profiling and optimizing scientific or machine learning workloads on large-scale clusters. Understanding of distributed computing frameworks and GPU-based acceleration techniques. Benefits We offer the following benefits: Enhanced holiday pay Pension Life Assurance More ❯

SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code, learn fast, and contribute ideas. You're comfortable working both More ❯

debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but More ❯

data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards More ❯

in technology strategy, roadmaps, and product solutioning Up to 15% of travel may be required Preferred: Experience with Business Data Cloud and Data Bricks Advance analytics with AI and ML Familiarity with technical infrastructure in a global context Required Skills: Analytical Reasoning, Consulting, Cost Management, Creating Purpose, Cross Functional Collaboration, Developing Others, Human Computer Interaction (HCI), Inclusive Leadership, Leadership, Performance More ❯

Python Experience with TypeScript and either Angular or React Good understanding of core software engineering practices (testing, version control, documentation) Awareness of basic cybersecurity and secure coding principles Comfortable learning new tools and technologies Clear communication and a collaborative mindset Desirable (Not Essential) Familiarity with AWS or cloud deployments Interest in robotics, embedded systems, or IoT Experience with data … visualisation or real-time data handling Exposure to AI, machine learning, or computer vision workflows How to apply? Please send a CV to danni@cortechtalentsolutions.co.uk More ❯

teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited is acting as an More ❯

communication and teamwork skills Desirable: AWS or cloud deployment familiarity Interest in robotics, embedded systems, or IoT Experience with data visualisation or real-time data Exposure to AI/ML or computer vision More ❯

communication and teamwork skills Desirable: AWS or cloud deployment familiarity Interest in robotics, embedded systems, or IoT Experience with data visualisation or real-time data Exposure to AI/ML or computer vision More ❯

production. Define AI standards , select tools, and shape the technical roadmap. Opportunity to progress to CTO-level as the business scales. Key Requirements 5+ years’ experience in AI/ML or software engineering , with production delivery. Strong Python skills. Hands-on with LangChain, Semantic Kernel, or LangGraph . Proficient in model deployment on cloud. Background in industrial manufacturing or B2B More ❯

. Key Responsibilities Architecture & Design Produce HLDs/LLDs, diagrams, ADRs, non‐functional requirements, and traceability to business goals. Select and justify cloud services (compute, storage, data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra More ❯

career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps. More ❯

teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly More ❯

with Pixhawk. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about both robotics, in particular More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on and strategic: shaping the technology roadmap, delivering core features, and setting the foundations for future team growth. Why Join Us? Work at the intersection of cloud, AI/ML, and industrial robotics Shape a platform already adopted by global enterprise customers Influence a product roadmap focused on predictive analytics and customer-driven ML models Step into a leadership role … data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves: Knowledge of machine learning, image processing, or predictive analytics Exposure to IoT or industrial data Previous experience in a start-up or high-growth SaaS company How to apply? Please send More ❯