1,676 to 1,700 of 4,186 Machine Learning Jobs in England

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying 20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯