926 to 950 of 2,524 Machine Learning Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

engineering Solid knowledge of cloud platforms, e.g. Azure/AWS/GCP (mandatory) Mastery of Docker architecture, containerization, and CI/CD tools Proven experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and Jira Familiarity with platforms like Databricks is a strong advantage More ❯

We are looking for a Software Engineer to support the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design More ❯

Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What We'll Offer You In Return: The More ❯

CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning and innovation. PGIM welcomes all applicants More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. More ❯

effectively compete in their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients such as HSBC, Lloyds, Mastercard, PayPal, Visa and The World Bank to More ❯

data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in More ❯

ensure high availability and performance of our applications. Security: Ensure robust security practices and compliance throughout our infrastructure and deployment processes. Collaboration: Work closely with software engineers, AI/ML engineers, and other stakeholders to support development and operations needs. Automation: Automate repetitive tasks and improve overall efficiency through the use of scripting and configuration management tools (Ansible, Terraform, etc. More ❯

Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/PySpark skills and DevOps automation experience Familiarity with Kubernetes, Kafka/Event Hub, and AI/ML platform integration Certifications in Azure, Databricks, or data governance tools (a plus) A collaborative mindset and a passion for continuous improvement What We Offer A chance to work on enterprise More ❯

Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI More ❯

with AWS/GCP/Azure, Postgres/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness to learn) LLM libraries, vector stores, and RAG paradigms Sector specific knowledge: Experience with financial data systems or forecasting models Communication & Collaboration : Skilled at articulating technical More ❯

principles Experience with IaC and DevOps tooling such Terraform, Packer, Ansible, Chef, Gitlab Experience with containerization technologies and orchestration tools Familiarity with data preprocessing and feature engineering techniques for ML model training. Familiarity with MLOps tooling Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Private Medical Insurance Life Assurance Cycle More ❯

in Node.js , Python , Go , or similar languages. Experience designing and operating cloud-native systems (AWS, Azure, or GCP) with a focus on scalability and resilience. Familiarity with AI/ML systems , or demonstrable ability to quickly ramp up in highly technical, ambiguous domains. Strong knowledge of REST APIs , distributed system design, and performance optimization. Experience with both SQL and NoSQL More ❯