351 to 375 of 2,850 Machine Learning Jobs in the UK

Social network you want to login/join with: Machine Learning Performance Engineer, London col-narrow-left Client: Oxford Knight Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: bff6f7efc14f Job Views: 33 Posted: 12.08.2025 col-wide Job Description: Summary: Exciting opportunity to work at a tech-centric prop trading … trades a wide range of financial products, with offices across the globe. Looking for an experienced engineer with low-level systems programming and optimization expertise to join their growing ML team. Machine learning is front and centre at this firm, and your focus will be to optimize the performance of their models: both training and inference. Theyre interested … who enjoys finding solutions for complex problems. If you also have a great appetite for learning new things, this role is for you! Requirements: An understanding of modern ML techniques and toolsets, with a strong focus on performance The systems knowledge & experience required to debug a training runs performance end to end Low-level GPU and compute cluster knowledge More ❯

job responsibilities - Drive technical vision and architecture for next-generation invalid and low traffic detection systems - Pioneer novel approaches in self-supervised learning and unsupervised learning. - Design scalable ML frameworks that balance sophisticated modeling with sub-millisecond latency. - Establish scientific standards and review mechanisms across traffic quality teams. - Mentor scientists and influence ML best practices across Amazon Advertising. - Partner … with research organizations to advance state-of-the-art detection techniques. - Author technical publications and represent Traffic Quality at leading ML conferences. BASIC QUALIFICATIONS - PhD in Computer Science, Machine Learning, or related technical field - Broad research experience after a PhD degree - Deep expertise in deep learning, self-supervised and unsupervised learning - Experience mentoring scientists and driving … experience with with ad fraud detection. - Familiarity with online advertising systems and infrastructure. - Track record of solving novel technical problems at massive scale. - Strong publication history in top-tier ML conferences/journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience More ❯

GenAI CoE) at Experian exists to improve our products, our internal processes and our day-to-day work through GenAI and process automation. The team is a mix of ML engineers, data scientists and product owners, who are dedicated to the next wave of innovation using GenAI. Who is a ML Engineer? In the GenAI CoE, ML Engineers drive the … the organisation to design and build GenAI solutionsfrom early experimentation to full-scale productionpotentially including DevOps work where needed. Architect and build high-performant solutions, which may involve traditional ML modelling and/or large datasets, as well as GenAI. Discover and introduce new technologies to the team, staying up to date with the latest approaches that enable the next … the full development stack, especially for prototyping. Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle. Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures. Detailed-oriented, pragmatic, and collaborative team player. Experience as a lead developer tackling complex problems at scale. Experience mentoring More ❯

in 2023 - in the heart of Central London and home to our Research Lab. The role We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off … quantitative research. Future projects include: Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML Reliably fitting models with complex job dependency graphs Robustness in production, including validation and monitoring Who are we looking for? You will be an intelligent, pragmatic and capable engineer. You … to grips with the widely varying requirements across different teams. You will bring industry experience to the table, helping us to apply best practice and drive improvements across our ML operations. The ideal candidate will have the following skills and experience: An appreciation of good architecture and MLOps best practice The ability to collaborate with, and influence, technical and non More ❯

the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative … AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI … HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

AI solutions to solve complex business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience … the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building agentic workflows and autonomous agents More ❯

Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new Machine Learning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯

now looking for a Machine Learning Engineer to join our Data team. This role is ideal for a senior independent doer, someone who has owned the entire ML lifecycle and is ready to ship meaningful, production-grade ML systems from scratch. This is not a research or experimentation role; it's about building systems that work in the … through to deployment and monitoring in production Collaborate with product managers and engineers to define KPIs, design data flows, and embed algorithms in product features Apply best-in-class ML practices with clear problem framing, model evaluation, experimentation, and observability- to deliver real-world impact Independently lead the development of models across the platform acting as the primary ML owner … and act as the primary ML owner; from data access and cleaning to modelling and integration Work autonomously while contributing to a culture of collaboration, shared learning, and continuous improvement Actively participate in peer reviews, team rituals, and cross-functional discovery, sharing insight and offering help where needed What you'll bring Background: Undergraduate Degree or higher in STEM More ❯

Machine Learning Software Engineer Contract ?? London or Manchester | Hybrid (80% on-site) ?? Up to £600 per day | Inside IR35 ?? DV Clearance Required Were working with a leading consultancy on a Machine Learning Software Engineer contract, delivering high-impact projects in secure government environments. Youll bring: Python and/or JavaScript/TypeScript experience, strong AWS skills More ❯

environments. We are seeking a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing (AIP) group, focusing on … developing inference algorithms and applying AI/ML to sequential data and decision-making processes. You will work on diverse research topics for clients in space, defense, security, and commercial sectors, as well as internal projects. There will also be opportunities to collaborate with academic partners and pursue personal research interests. The Data and Decision Support Capability encompasses teams working … on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks. Candidates should have a PhD or equivalent industry experience in a relevant discipline, with several More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible toall of humanitythrough a free market. Our Principles: AUTONOMY Don't ask for permission - we have a constraint culture More ❯

and infrastructure to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictive modelling , and economic forecasting to extract insights. - You will comply to data governance policies and best practices to ensure data quality, documentation and compliance with regulations … version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and … in early childhood, with a range of different datasets to model outcomes around (health, education, development). Self-starter with a proactive and curious mindset. Adaptable and open to learning new technologies and methodologies. Strong attention to detail and commitment to delivering high-quality work. Ability to thrive in a fast-paced, dynamic environment. Deadline for applications: Monday 4th More ❯

approach to AI, lay strong foundations, and work at the intersection of engineering, data science, and product. What You'll Be Doing Own the end-to-end lifecycle of ML-powered features - from problem definition and data exploration to model training, deployment, and monitoring Help build the foundations and define the future of ML at Primer. where you'll have … influence from day one. Collaborate with product, data, engineering and platform teams to identify and prioritise impactful ML use cases Design and build core ML infrastructure including versioning, CI/CD, and observability tooling Work across teams and functions as a staff-level IC, acting as both an aggregator and technical leader Bring a pragmatic, impact-first mindset to experimentation … your path evolving toward technical leadership or people management, we'll support your growth every step of the way What We're Looking For 6+ years of experience in ML engineering, data science, or applied research Familiarity with payments or e-commerce - this is essential as you'll be the domain expert from day one. Excellent Python programming skills and More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join … and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research … e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience managing R&D teams of 5 or more Experienced in engineering assurance activities Strong track More ❯

our Data Science capabilities to support our ambitious growth plans. We are embarking on a new chapter where we are increasing the use of data science and real-time ML engineering techniques to take our market leading models to the next level. And the customer is at the centre of this ambition. We have a plethora of datasets and cutting … to day: As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Activities will include: Developing data science and ML solutions (using, e.g., python, SQL, GBM, random forests) to drive … growth, solve problems and increase automation across the business. Work within a cross-functional team (product managers, ML engineers, analysts) to deliver business goals. Influence and input into priorities using data to quantify new opportunities. Design and monitor A/B tests isolate the impact of initiatives. Be a champion of data science and ML, communicating its value to colleagues More ❯

Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for a … Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid … and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine More ❯

with data transparency, innovative technology, and human ingenuity. Role Profile The Data Scientist will join our advanced analytics group to assist us in building various advanced statistical, deterministic and machine learning models to create behavioural profiling on a range of data features relating to the global shipping fleet. This role involves leading a team and customer-facing interactions … and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance of ML models (e.g., supervised models, such as gradient boosting, logistic regressions etc. and non-supervised approaches, including clustering) Advise product stakeholders on feature and modelling accuracy and potential iterations which may … Jenkins, Sagemaker, Docker etc Advanced programming skills in SQL, SAS (desired), Python, and the ability to write production-level code Familiarity with the most standard Python libraries used in ML (e.g., Scikit-Learn, Pandas, Numpy, LightGBM, XGBoost, just to name a few) Foster new and innovative machine-learning techniques and approaches General: Passionate for continuous learning, experimenting More ❯

technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building the next … Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis More ❯

Learning training. This position requires a passion for clean code and strong software development principles. The scope includes everything from how we architect, configure, and run our ML configuration systems to the training pipelines, testing pipelines, and general tooling that support our model development. You will collaborate closely with our team of ML engineers to seamlessly integrate your … understanding of modern Perception systems and their architectures Experience in several of the following areas:- Software for real-time safety-critical systems- Software engineering for robotics or perception applications- Machine learning model training, machine learning infrastructure, and associated tools- Writing performant, real-time software- Parallel Programming and working with hardware accelerators- Cloud computing and large-scale More ❯

of complex document workflows that support global commerce. What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and … compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience … doing things properly • Opportunity to shape both the tech stack and the future of the platform • Culture of ownership, collaboration and continuous learning If you're a strong ML engineer who thrives in real-world problem solving, please APPLY TODAY. More ❯

of complex document workflows that support global commerce. What You'll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and … compliance teams to deliver real-world results What We're Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset - writing production-grade, scalable code Bonus Points For • Experience … doing things properly • Opportunity to shape both the tech stack and the future of the platform • Culture of ownership, collaboration and continuous learning If you're a strong ML engineer who thrives in real-world problem solving, please APPLY TODAY. Company: Avanti Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged More ❯

destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. What You'll Do Design, build, evaluate, and ship ML solutions in Spotify's personalization products Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission … fans in personalized and useful ways Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Be part of an active group of machine learning practitioners Who You Are … An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment Strong background in machine learning, modern sequential model architectures, generative models, with hands on experience applying theory to develop real-world applications Hands-on expertise with implementing end-to-end production ML systems at scale in Python Additional systems More ❯