1,326 to 1,350 of 2,511 Machine Learning Jobs in England

data stack solutions (e.g., Snowflake, Databricks, dbt, Airflow, cloud-native tooling). Solid understanding of data governance, quality, lineage, and security within regulated environments. Working knowledge of AI/machine learning technologies and their practical applications in financial services use cases. Strong leadership, stakeholder management, and team development skills. Excellent communication, presentation, and problem-solving abilities. Why Join More ❯

immerse yourself in the heart of a technology-driven financial powerhouse, where your technical expertise and collaborative spirit will be highly valued. The organisation stands at the forefront of machine learning and quantitative research, leveraging world-class computational resources and a diverse, inclusive culture that prizes teamwork and mutual respect. As part of a close-knit operations team More ❯

enterprise B2B data requirements, including compliance, governance, and security best practices Track record of leveraging data insights to inform product strategies, ideally with experience in product analytics Knowledge of machine learning frameworks or AI-based products, as well as MLOps best practices(nice to have) Excellent communication and stakeholder management skills, with the ability to concisely report technical More ❯

GCP Data Analyst - Looker ML + BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating More ❯

GCP Data Analyst - Looker ML + BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating More ❯

Python, R, VBA, SQL, Alteryx. Relevant degree subject (Maths, Statistics, Data Science or another Science related subject). An interest in finance and the investment management industry. Exposure to machine learning. Excellent communication skills and business acumen. Creativity and action-oriented. More ❯

and developing AI-driven tools to automate complex business operations Deploying intelligent agents and automation workflows across enterprise processes Driving AI adoption by integrating Azure AI Services and other ML capabilities Collaborating with stakeholders to identify automation opportunities and deliver measurable outcomes Tech you'll need: Strong experience building AI and automation solutions in production environments Proven hands-on expertise More ❯

in core SDLC CI/CD processes, along with SRE concepts - Monitoring, Alerting, Incident management. Worked within DevOps operating model, data analytics, various models and application of AI/ML in this space. BS degree in computer science or equivalent field Preferred Qualifications AWS Certified Solutions Architect, AWS Certified Developer certifications Launched and operated commercial products and services based on More ❯

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 ❯

data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a passion for scalable, maintainable solutions Excellent communication skills and a collaborative, mentoring approach Desirable: Exposure to ML/AI technologies Certifications in Microsoft Fabric, Azure, or BI tools Perks & Benefits: Salary up to £60,000 depending on experience Enhanced parental leave, healthcare cash plan, and life assurance More ❯

data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a passion for scalable, maintainable solutions Excellent communication skills and a collaborative, mentoring approach Desirable: Exposure to ML/AI technologies Certifications in Microsoft Fabric, Azure, or BI tools Perks & Benefits: Salary up to £60,000 depending on experience Enhanced parental leave, healthcare cash plan, and life assurance More ❯

data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a passion for scalable, maintainable solutions Excellent communication skills and a collaborative, mentoring approach Desirable: Exposure to ML/AI technologies Certifications in Microsoft Fabric, Azure, or BI tools Perks & Benefits: Salary up to £60,000 depending on experience Enhanced parental leave, healthcare cash plan, and life assurance More ❯

data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a passion for scalable, maintainable solutions Excellent communication skills and a collaborative, mentoring approach Desirable: Exposure to ML/AI technologies Certifications in Microsoft Fabric, Azure, or BI tools Perks & Benefits: Salary up to £60,000 depending on experience Enhanced parental leave, healthcare cash plan, and life assurance More ❯

warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing Nice to haves: ML pipeline experience Previous fintech or financial services exposure If you are on the market for a new role and are looking to join a business making real impact, APPLY NOW More ❯

or similar frameworks is highly valuable. Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning. Ideal Candidate Profile Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries. Strong fluency in Python and TypeScript , and a deep understanding of APIs, data schemas, and backend workflows. Demonstrated ability to work More ❯

OR equivalent experience. Expertise in full stack app architecture design/modernization and cloud native development (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET). Expertise in AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.). Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that More ❯

Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an acitve eDV security clearance This is an incredible opportunity to be at the forefront of More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold or are required to go through the More ❯

internal working groups on Responsible AI, AI governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. Qualification and skills: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯

internal working groups on Responsible AI, AI governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. Qualification and skills: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯