126 to 150 of 439 Machine Learning Jobs in London

Central Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key … Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks … complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with data engineering workflows and pipelines. Knowledge of working in a secure or public sector environment. If you believe your experience is in line with the More ❯

or DV Salary: £60,000 - £110,000 (Depandant on grade) A leading digital consultancy is looking for a Senior Data Scientist to lead and deliver cutting-edge AI/ML solutions for clients across UK defence and public sector. This is a hands-on, strategic position for someone who thrives at the intersection of data science, client delivery, and software … product design. What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data scientists across project teams Contribute to … Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British citizenship are mandatory This More ❯

the boundaries of what's possible with applied AI. What You'll Be Doing: Owning and evolving the intelligence layer of our recommender system. Designing and implementing AI/ML systems that scale gracefully. Applying and iterating on LLMs and data-driven approaches to improve recommendations. Rapidly experimenting with RAG, search algorithms, and agentic architectures. Debugging complex model behaviours and … improving reliability and observability. Staying on top of the latest research and applying it pragmatically. Collaborating cross-functionally to make complex ideas simple and actionable. Shipping fast, learning faster, and iterating on user and stakeholder feedback. We Are Looking For Someone Who: Has hands-on experience with search and information retrieval, including BM25, hybrid search, and ranking metrics (nDCG … is a must. Core AI & Machine Learning Python Vertex AI/Hugging Face LangChain/BAML — LLM frameworks Langfuse, LangSmith — Observability Pandas, NumPy, scikit-learn, PyTorch — Data & ML stack Data & Infrastructure BigQuery — Cloud data warehouse PostgreSQL — Application data Pulumi — Infrastructure as Code (TypeScript) Google Cloud Platform (GCP) — Cloud provider GitHub Actions — CI/CD Docker/Kubernetes — Containerisation More ❯

Lead Analytics Engineer, youll: Design and deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What … Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications More ❯

Drive measurable outcomes by defining critical metrics, learning agendas, and frameworks that connect CRM performance to retention and customer lifetime value. Advance personalization by developing or partnering on ML/AI models—such as propensity, churn, uplift, or next-best action—and integrating them into CRM decisioning. Scale high-quality experimentation through well-designed A/B and multivariate … to ensure compliant data use and responsible AI practices. What you will bring Hands-on CRM analytics experience delivering measurable impact in consumer or marketplace environments. Experience developing analytics, machine learning, and AI solutions for CRM and personalization, including propensity, churn, LTV/CLV, uplift, or recommendation models. Strong experimentation and statistics skills, including test design, sample sizing More ❯

AI value proposition and vision to customers and align our solutions with their AI strategy Prototype, develop, deploy and scale AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions Identify and package scalable AI use cases across the Celonis platform, driving innovation and expanding our offerings Collect and share AI success stories … You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and More ❯

Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public … to meet about 30 trainers while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support your health and wellbeing Strict More ❯

the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data Engineer, AWS Data Engineer More ❯

s data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate More ❯

loan performance. Analyse credit data, customer profiles, and market trends to enhance underwriting criteria. Work closely with stakeholders to optimise credit policies and improve lending strategies. Utilise statistical and machine learning techniques to support data-driven risk assessment methodologies. Monitor key performance indicators (KPIs) related to loan approvals, delinquencies, and charge-offs. Requirements Required Skills & Experience: 3+ years More ❯

our custom analysis platform built on the AWS infrastructure. Data scientists in our team have space to explore the use of new, cutting-edge techniques in data processing and machine learning, including large language models and generative AI. We work in a collaborative way, with a focus on sharing our knowledge and experience across the team. What you More ❯

and facilitating adoption of governance practices. • Contribution to AI governance initiatives, ensuring alignment with international standards and emerging regulations. Preferred: Knowledge of ethical AI principles and governance frameworks for machine learning systems. Closing Date 15 December 2025 Our Address General Reinsurance, London Branch Corn Exchange 55 Mark Lane London, EC3R 7NE (UK) It is the continuing policy of More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

engineering solutions. Strong communication and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption underway. Strong progression More ❯

CD, infrastructure as code, and container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking for individuals More ❯

client engagements. · Eligibility to work in the UK. Desirable Skills and Experience: · Experience with specific OSS/BSS vendor platforms and solutions. · Knowledge of data analytics and AI/ML applications within the OSS and network domain. · Experience with agile methodologies and DevOps practices. · Relevant industry certifications (e.g., ITIL, TOGAF). · Prior experience in a consulting role within a major More ❯

and delivering exciting projects with a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions for our clients/ More ❯

real impact, collaborating with experienced technologists and finance professionals to deliver high-value AI solutions. Required Experience & Skills: 2+ years software development, 1-2+ years in AI/ML development. Python (mandatory), Java or TypeScript (advantageous) ML fundamentals, LLM integration, prompt engineering, RAG workflows, AI frameworks and Fine-tuning. Mindset: Self-motivated, growth-oriented, passionate about emerging AI tools. … ready to take ownership of AI initiatives and work on impactful projects, apply now to join a high-growth, forward-thinking team in London. Keywords: AI Developer, Python Developer, Machine Learning, LLM, RAG, Prompt Engineering, AI Tools, PyTorch, TensorFlow, Hugging Face, Fintech Jobs London, Trading Platform, Lead AI, AI Engineer, AI Automation, AI Careers, AI London Jobs More ❯

systems. Polyglot engineer comfortable working across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud platforms, microservices and modern software … working in a consultancy environment, managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. Behaviours and PACT values Purpose … powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave More ❯

scale, complex systems. Polyglot engineer comfortable working across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React andNext.jsto name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud platforms, microservices and modern software … working in a consultancy environment, managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. Behaviours and PACT values Purpose … powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave More ❯

The Role We are looking for a skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate data pipelines across … Snowflake and AWS environments. Apply data modeling, warehousing, and architecture principles (Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super … pipeline development and orchestration. Proficient with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi-team, vendor-integrated environments. Why More ❯

the ability to build compelling narratives for senior stakeholders Demonstrated ability to work cross-functionally and collaboratively Experience in developing or supporting data strategy An understanding of how GenAI, machine learning and other AI capabilities can support our business goals Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your … line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration ? Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. ? Partner with product and leadership to define the More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration ? Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. ? Partner with product and leadership to define the More ❯