1,001 to 1,025 of 2,712 Machine Learning Jobs in England

improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge More ❯

Engineering or equivalent . Preferred Qualifications Knowledge of MR physics and MR imaging techniques Experience with MRI reconstruction algorithms or other physics based reconstruction techniques. Knowledge of artificial intelligence, machine learning and deep learning is strongly preferred Experience with inverse problem statement and solving large systems of equations Experience with relevant programming languages, such as C++ and More ❯

to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a Senior Data Scientist … you will be doing Design and build robust behavioural features and factors from telematics data. Develop end-to-end pipelines in Python and SQL, from quick heuristics to full ML models. Prioritise simple, robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers and Product Managers to deploy features and validate impact. Lead experiments, explore new … translate ambiguous problems into structured, testable ideas and share insights across technical and non-technical teams. A growth mindset: you're curious, open to feedback, and driven to keep learning and improving. Nice to Have Experience working with noisy, high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digital signal More ❯

stack. Machine Learning Enablement: Oversee the transformation and migration of complex datasets to Databricks, ensuring data quality and accuracy to build a robust foundation that unlocks various ML use cases. Qualifications: 5+ years of experience in analytics engineering, data engineering, or a related field. Advanced SQL skills and experience architecting solutions on modern data warehouses (e.g., Snowflake, BigQuery More ❯

within the rail industry and government. You will be part of the Corporate Affairs team, with a dotted line into the Trainline data organisation which consists of Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. Both the Corporate Affairs and data team sit at the forefront of Trainline's growth and market position as … an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we More ❯

you'll help build a fairer credit system. The Role We're looking for an experienced MLOps Engineer for a 3-month contract to lead the development of our ML deployment, testing, monitoring, and feature engineering pipelines . You'll be responsible for establishing best practices and production-grade systems to support our machine learning workflows from training … ensure stability and quality. - Establish model monitoring and alerting frameworks for real-time and batch inference (e.g., model drift detection, performance degradation). - Build CI/CD pipelines for ML workflows (training, evaluation, deployment), integrating with tools such as GitHub Actions , CodePipeline , or Jenkins . - Create internal documentation and onboarding guides for engineering and data teams to adopt new MLOps … practices. What We're Looking For - 3+ years of experience in MLOps, DevOps, or ML infrastructure roles. - Deep familiarity with AWS services , especially SageMaker , S3, Lambda, CloudWatch, IAM, and optionally Glue or Athena. - Strong experience with MLflow , experiment tracking , and model versioning. - Proven experience setting up and managing a feature store , and driving best practices for feature engineering in production More ❯

both technical and senior stakeholder levels. Desirable Skills: Familiarity with data visualisation tools (e.g., Power BI, Tableau). Exposure to platforms such as Quantexa, Databricks, or Palantir. Experience building machine learning pipelines or working on data science applications. Knowledge of test automation and CI/CD for data workflows. This is a unique opportunity to join a mission … driven team working on impactful technology, with flexibility, learning support, and a clear path for technical progression. More ❯

when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to … working from home and a parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners More ❯

real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale. Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and precision. Design and deliver mission-critical … Industry experience in payments, in a technical, operational, or strategic leadership role - preferably within a payment service provider, fintech, or financial institution. Proven track record of leveraging advanced analytics, machine learning, and artificial intelligence to identify growth opportunities, streamline operations, and optimize cost structures. Our Benefits: 34 days of vacation (including public holidays) Group private medical insurance Group … pension (6% contributed) and group income protection Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Learning and Development Benefits We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification More ❯

apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We … re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest … in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory More ❯

apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We … re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest … in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory More ❯

improve the lives of people in financial difficulty at scale.The data team sits at the heart of Ophelos and is responsible for developing: The Ophelos Decision Engine - a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions OphelosGPT - our generative AI model for empathetic, context-aware customer communication Advanced NLP … we aim to scale our LLM-powered products, run extensive feature experimentation and upgrade our decisioning engine In this role, you'll get to: Take ownership of high-impact ML and LLM features from ideation through to production deployment Design and run feature experimentation and A/B testing to optimise model performance and product outcomes Research, prototype, and productionise … we are looking for someone with: Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries) 4+ years of experience delivering machine learning products end-to-end in production Hands-on experience with LLMs - fine-tuning, prompt engineering, vector databases, or RAG pipelines Proven experience with A/B testing More ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering challenges. … workflows, from interactive agents to intelligent automation tools. Architect, implement, and maintain scalable LLM systems suitable for large-scale, multi-user environments. Build production ready, high quality AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost … Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and optimising LLM + ML driven applications. Proficiency in Python and common ML/AI libraries; comfortable with full-stack system design from prototyping to production deployment. Familiarity with one or more LLM stacks (OpenAI More ❯

ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable, and robust data architectures. Comprehensive grasp … and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, andcontinuous learning for all our people. This approach fosters collaboration, well-being,growth, and agility, leading to a more diverse, innovative, and competitiveorganisation. We are also proud to share that we … Allies Network, Neurodiversity Network and the Parent Network. what we'll offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more More ❯

complex datasets — including consumer data, survey data, and extensive geospatial information. You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation … in how healthcare behaviors are understood and acted upon. What You’ll Bring PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling … MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical ownership and leading ML projects from end to end If you are interested, please share your CV with rosie@harnham.com More ❯

complex datasets — including consumer data, survey data, and extensive geospatial information. You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation … in how healthcare behaviors are understood and acted upon. What You’ll Bring PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling … MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical ownership and leading ML projects from end to end If you are interested, please share your CV with rosie@harnham.com More ❯

instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering … data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK More ❯

pipelines, Bitbucket, Docker, and AWS. Evaluate and adopt emerging technologies, frameworks, and design patterns to keep engineering efforts modern and forward-looking. Encourage experimentation, proof-of-concepts, and continuous learning within the team to support long-term growth and innovation. Knowledge, Skills, and Experience 1015 years of total professional experience in software engineering, with substantial time spent in full … Kingdom 3 months ago Engineering Manager, Android, iOS & Backend, B2C | Fintech | London, Hybrid 2 Days | Up to 130,000 base, plus share options/benefits Engineering Manager AI/ML (Computer Vision Focus) Greater London, England, United Kingdom 1 month ago Senior Engineering Manager (FM & Workplace) City Of London, England, United Kingdom 85,000.00-95,000.00 1 week ago London … London, England, United Kingdom 1 month ago London, England, United Kingdom 3 weeks ago Software Engineering Manager - Systems Generalist London, England, United Kingdom 1 week ago Tech Lead Manager, Machine Learning - Perception London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Engineering Manager at $150m More ❯

market. THE IMPACT YOU'LL OWN As a Senior Geospatial Software Engineer, you will join our Geo Pod and work at the intersection of software engineering, geospatial data, and machine learning. This is a unique opportunity to contribute to cuttingedge projects tackling global climate risk challenges. You will work on: AWS POC Project (IRCAI): Collaborate with our Machine … coding. Responsibilities: Design, build, and optimise backend systems for largescale geospatial and climate data processing. Identify performance bottlenecks in raster data workflows and propose innovative, futureproof solutions. Collaborate with ML engineers and scientists to integrate and scale scientific models in production. Build and maintain robust data pipelines in a cloud environment (AWS). Contribute to proofofconcept and production projects with … Handson experience with geospatial data formats, with an emphasis on raster data, and relevant tooling (e.g., GDAL, QGIS, Rasterio, xarray, STAC). Ability to collaborate effectively with multidisciplinary teams (ML, Science, Engineering). Problemsolving mindset with a passion for tackling largescale data and performance challenges. DESIRABLE SKILLS Understanding of scientific computing and datadriven modelling workflows. Experience architecting cloud native solutions More ❯

with cross-functional teams to align DevOps and SRE strategies with business goals. • Mentor and lead DevOps teams, fostering a culture of innovation and continuous improvement. • Leverage AI and machine learning to optimize DevOps and SRE processes. • Ensure compliance, security, and operational excellence in all DevOps practices. ͏ Required Qualifications: • 15+ years of experience in IT, with a strong … GCP. • Strong background in cloud-native engineering and solution architecture. • Demonstrated experience in applying SRE practices such as SLIs, SLOs, error budgets, and incident response. • Exposure to AI/ML technologies and their application in DevOps and SRE. • Strong leadership and mentoring experience. • Excellent communication, collaboration, and problem-solving skills. • Bachelor's or Master's degree in Computer Science, Engineering More ❯

opportunities, and transform operations, and youll play a key role in making that happen. In this role, youll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground up. Guiding them through the entire AI product lifecycle, from ideation and experimentation to production deployment and performance … deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether thats deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging is important, as is a mindset … freedom. If you're looking for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you. This is your chance to join a mission-driven team using data science to shape the future, today. #J More ❯

boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and … We believe diverse perspectives fuel innovation. Our team is made up of talented engineers from different backgrounds, each bringing unique strengths. We collaborate across the full stack, supporting and learning from one another to create world-class solutions. You'll have the autonomy to shape technical design, work closely with stakeholders, and engage with data scientists and cross-functional More ❯

new fashion and sustainability top of mind, Circler is addressing the effort and risk gaps that stop 60% of people from buying preloved. Using proprietary data and AI/ML matching, we make shopping secondhand seamless. As a Founding Full Stack Developer, you will work alongside the CEO and cross-functional team to define and implement the technology vision and … with beautiful customer experiences. This is a hands-on role with a path to Head of Tech and meaningful equity. Key Responsibilities: Drive data-led innovation with AI/ML, including recommendation systems and personalization features Collaborate with business leaders, non-tech stakeholders, and investors to align tech direction with company strategy Balance hands-on coding with technical leadership and … integrations Who You Are: Strong back-end focus with full-stack engineering experience Strategic thinker with commercial acumen and startup grit Data-obsessed with proven experience in AI/ML or strong interest in applied machine learning Confident communicator and collaborator across technical and non-technical teams Pragmatic in build vs. buy decisions Passionate about sustainability, marketplaces, and More ❯

building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and … cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g. More ❯

behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or … B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of … work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. More ❯