51 to 75 of 232 Machine Learning Jobs in Central London

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

technical depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable …/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both inside and outside of … and personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯

technical depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable …/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both inside and outside of … and personal trips. Hybrid working & flexibility around client commitments. Recognition & reward schemes – performance-based, not box-ticking. Regular socials, team-building days, and volunteering opportunities. Professional development support – structured learning, mentoring, and cross-discipline growth. A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

record of building analytics and reporting frameworks from scratch Proficiency in Tableau (or Metabase, Power BI, Looker, Google Data Studio) Strong knowledge of SQL and Python (cloud functions/ML projects) Excellent stakeholder skills - able to communicate insights to technical & non-technical audiences Familiarity with attribution modelling, AB testing, and pipeline management in BigQuery/AWS What’s On Offer More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We’re looking More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We’re looking More ❯

children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. … Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP would be added advantage Must have experience in Banking or Insurance domain Must have experience working in Agile methodologies. More ❯

Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP would be added advantage Must have experience in Banking or Insurance domain Must have experience working in Agile methodologies. More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

tools. Ensure smooth handovers from pre-sales to implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯