601 to 625 of 1,293 Machine Learning Jobs in England

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

existing platforms Work with large-scale structured datasets Requirements 5+ years of Machine Learning engineering experience Strong experience building production AI/ML systems Experience with LLMs and agentic AI frameworks Proficiency in Python and working with APIs/data pipelines Experience working with structured or enterprise data ...

data solutions, ensuring platforms are scalable, secure, resilient, and commercially effective from concept through to production. Key areas of focus include: • Enterprise AI and machine learning architecture • Databricks, AWS, and Snowflake ecosystems • RAG, vector databases, and agentic AI orchestration • Cloud-native, API-driven, and event-driven architectures • FinOps … leadership and stakeholder engagement skills. Ideal experience includes: • 15+ years within solutions architecture, enterprise architecture, or senior technical leadership • Extensive experience designing AI/ML and cloud-native platforms at scale • Strong expertise across AWS, Databricks, Snowflake, Python, and SQL • Experience delivering scalable and operationally mature AI solutions • Insurance ...

modelling capabilities to support client projects and internal innovation. Specifically, you can expect to be involved in the following: Develop and enhance AI and machine learning models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research … credit risk within a lender (bank, fintech) or credit reference agency. Strong background in model development, ideally scorecards. Hands-on experience with AI/ML techniques (e.g. LLMs chatbots, predictive models) Strong SQL and Python skills BENEFITS The successful AI Consultant will receive a salary ...

Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services … support of a permanent role. Youre not a contractor - youre a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing ...

innovative machine learning solutions while collaborating with cross-functional teams. Ideal candidates have 8+ years of software development experience, expertise in ML design and generative AI, and a commitment to fostering a positive team culture. This role requires strong problem-solving skills and the ability to guide others ...

supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity.Tailored Development - Grow your career with personalised learning and development opportunities.If you feel this is the type of environment you will enjoy working in, apply today! Job description Job responsibilities … data science and AI services. Skills/Knowledge Essential Demonstrable in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and detailed knowledge of at least one specialism Skills/Knowledge Essential Extensive expertise in stakeholder management, ability ...

skills/experience are required: Business Analyst/Product Owner background Proven experience in Data Financial product/traded product knowledge Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good ...

software architecture across Windows and Linux platforms. Complex Systems: Manage codebases integrating hardware, sensors, vision, and AI. Innovation: Partner with Data Science to deploy Machine Learning models to edge devices (e.g., NVIDIA Jetson). Leadership: Mentor junior engineers and drive best practices across the full SDLC. What Were ...

Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands ...

building trusted client relationships. About the business 🚀 Join a consultancy with 10+ years in the market that has built a strong reputation within AI, Machine Learning and Tech4Good. You’ll be joining a high-calibre engineering team delivering software that genuinely makes an impact, particularly across Healthcare ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

lifecycle governance.Lead platform releases and upgrades, including planning, testing and communication to stakeholders.Implement and maintain security, risk and compliance controls across data and machine learning workloads.Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience. Your Skills and Experience Strong experience operating Databricks ...

award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer ...

work actually happens, and turn that into practical AI systems. What we’re looking for Strong software engineering background Experience with RAG, LLMs, machine learning, and AI application development Strong hands-on skills in Python and Node.js Ability to design, build, and deploy production-ready systems Confident working ...

work actually happens, and turn that into practical AI systems. What we’re looking for Strong software engineering background Experience with RAG, LLMs, machine learning, and AI application development Strong hands-on skills in Python and Node.js Ability to design, build, and deploy production-ready systems Confident working ...

/or Python Background in financial services, fintech, or capital markets Experience building distributed systems or high-performance platforms Exposure to AI/machine learning applications (production or applied) Solid understanding of APIs, cloud infrastructure, and system design Bonus: experience with trading systems, digital assets, or blockchain Tech ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

evolving and priorities shift Nice to Have Experience in robotics, control systems, or real‐world system integration Strong Linux and Python experience Experience deploying machine learning models Experience with distributed systems, networking, or system connectivity Experience building and scaling developer tooling, testing frameworks, or CI/CD systems ...

evolving and priorities shift. Nice to Have Experience in robotics, control systems, or real‐world system integration. Strong Linux and Python experience. Experience deploying machine learning models. Experience with distributed systems, networking, or system connectivity. Experience building and scaling developer tooling, testing frameworks, or CI/CD systems. ...

owning your own work & projects Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills Relentless about self-improvement and hold yourself to incredibly ...

leading gaming company in London is looking for a Principal Data Scientist to lead high-impact data science initiatives. The role involves building machine learning solutions that drive player engagement and retention. Candidates should have a PhD or MSc and over 5 years of experience delivering data products ...