1,226 to 1,250 of 2,522 Machine Learning Jobs in England

An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯

with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of More ❯

preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to influence senior stakeholders, comfortable in dual-regulated environments. More ❯

scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years in a leadership or management role Experience designing and operating modern data platforms More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

and communication skills, comfortable with shifting priorities and scale-up environments. Passionate about mentorship, team development, and fostering a transparent, trust-based culture. Any experience with Snowflake, AWS, IAM, ML Ops, SecOps and containerisation would be sought after. More ❯

Cloud-based data platforms AWS must (Azure, AWS or equivalent) Modern ETL/ELT tools and data pipeline frameworks Data modelling, warehousing and transformation best practices Data science/ML lifecycle from prototype to production Government/Public Sector : Experience to GDS-equivalent standards; strong grasp of GDPR, FOI and public-sector procurement. Communication & Stakeholder Management : Able to translate technical More ❯

/XML , and automated testing frameworks (e.g., Jest, Vitest) Familiarity with CI/CD tools , source control , and agile development methodologies Bonus: Experience with Umbraco , SharePoint , or AI/ML integration Strong problem-solving skills, attention to detail, and a passion for clean, maintainable code What's in It for You? A flexible hybrid working model with just one day More ❯

Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input More ❯

Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within the enterprise space focused on the Financial Services - Banking and/or Insurance (FSI) verticals. Engage customers in technical sales, challenge their More ❯

from day one Contribute to the design and development of cloud-native data platforms that support real-time and batch processing AI & LLM Enablement: Collaborate with data scientists and ML engineers to integrate AI/LLM capabilities into applications Build and expose intelligent APIs that leverage models from OpenAI, Hugging Face, Bedrock, or custom-trained models Support the lifecycle of More ❯

from day one Contribute to the design and development of cloud-native data platforms that support real-time and batch processing AI & LLM Enablement: Collaborate with data scientists and ML engineers to integrate AI/LLM capabilities into applications Build and expose intelligent APIs that leverage models from OpenAI, Hugging Face, Bedrock, or custom-trained models Support the lifecycle of More ❯

across trading, risk, post-trade, market data, asset and wealth management domains to drive business value - Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML, HPC) - Collaborate with sales teams to develop and execute customer engagement strategies - Create technical content and reference architectures for capital markets use cases - Influence AWS product roadmap based on customer More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

on target hardware REQUIRED QUALIFICATIONS Solid coding, algorithms, data structures and software engineering fundamentals BS in Robotics, Computer Science, Mechatronics, Mathematics, Mechanical Engineering, or related field Strong DNN/ML background and experience in standard domain libraries (numpy, opencv, pytorch, etc) Strong C++ or Rust experience Experience deploying to real-time robotics systems Eligible to obtain and maintain an active More ❯

holidays (option to buy/sell after 2 years) Bonus scheme recognising high performance Life assurance and employer pension contributions Choice of tech setup to suit your working style Learning & development budget + 1:1 coaching Cycle-to-work scheme & free parking Hybrid working model with flexible start/finish times £100 annual home office allowance DATA SCIENTIST ROLE … build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You'll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units.You'll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into … data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical stakeholders Previous experience in monitoring More ❯

compliance. Lead the transition from external teams to a hybrid development function. Ensure GDPR and security compliance while optimizing system reliability. Drive AI innovation, leveraging the latest advancements in machine learning & NLP. Define a … long-term technology strategy, aligning AI capabilities with business goals. Risk Assessment & Technical Debt Analysis to identify any areas needing attention. Support & Maintenance management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB … of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's in It for You? Lead the AI vision for a next-generation recruitment product. Work with cutting-edge AI/ML technologies. Influence business decisions at the highest level. Join a dynamic, innovative, and growth-focused environment. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday More ❯

in creating solutions that has cloud, web, mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain specific languages, native and cross platform development, etc. Soft Skills Excellent leadership, decision-making, and problem … skills Preferred Qualifications Experience in Telecoms and technology domains preferred Experience in developing private-cloud based software products and platforms Experience in leading edge technologies such like AI/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince More ❯

find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing … best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets Implementing scientific technology products that leverage the data and capabilities provisioned by Onyx The Staff Application Engineer and Team Lead will play a pivotal role More ❯

products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and … ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data More ❯

products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and … ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data More ❯

causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar … OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of More ❯