1 to 25 of 168 Machine Learning Jobs in the City of London

Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules … using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated … testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and More ❯

and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and … implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks. * Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps … Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies. Working closely with BI, data engineers, and product teams, you'll build scalable solutions that … marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML … continuously improve model performance in production environments. Mentor junior engineers and promote best practices in model development, code quality, and cloud infrastructure usage. Contribute to the evolution of our ML Ops processes including continuous training, automated evaluation, and scalable deployment frameworks. Maintain high standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning … in version control, testing, CI/CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate … all the skills, you have a passion and willingness for learning. Here’s what the teams will be looking for: 3–5 years of professional experience in data science ML, or applied AI role Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently Proven experience in building, deploying, and maintaining ML models in production More ❯

Net Zero | Machine Learning Engineer | London (Hybrid) We’re hiring a Machine Learning Engineer to join a fast-growing EnergyTech startup building the software to power a fully decarbonised energy system! Backed by top VCs (Meta, Slack, BeReal investors), this team is helping the grid shift to clean, cheap power - in real-time. Their platform already … thousands of energy assets (EV chargers, home batteries, heating systems), and they’re just getting started. What you'll do: 🔍 Work on real-time energy optimisation using Python + machine learning 🔍 Own technical challenges end-to-end 🔍 Build software that directly reduces emissions 🔍 Write production code 🔍 Ship real-world solutions quickly Why join? 🚀 $10M+ raised = strong runway 💥 Huge … ownership + greenfield problems 💡 Fast, mission-driven team focused on learning and climate impact A plus but not essential: ⚡️ Power trading or electricity systems 📈 Time-series data 🎙 Comfortable chatting with clients Tech: Python/Streamlit/Docker/GCP/Figma More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python … AI and Biology. Preferred Qualifications: Industry experience in biotechnology or pharmaceuticals, especially in internal or client-facing roles. Contributions to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic More ❯

Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Back End Engineer :- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that … knowledge of Cloud Technologies (AWS) and Microservices Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Back End Engineer (Java) will depend on experience, but expect between £45,000 and £65,000 + Pension + benefits Other benefits include:- Free … games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Applicants must have the right to work in the UK, no sponsorship is offered for this role More ❯

recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering bespoke end-to-end recruitment services and the opportunity to … plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the competitive AI & Data Science market. Our slogan is ‘raising the bar … and be empowered to live a fully integrated life. Job Description As an Executive Search Consultant , you will be immersed in the most cutting-edge fields of technology – AI & machine learning. Developments in this space are fundamentally transforming how we live our lives, how businesses operate and how they deliver products to consumers. You will learn about these developments More ❯

possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry … settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role you must have hands-on experience … designing and deploying ML models in industryideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has More ❯

days in office) Up to £125,000 + Equity About the Role A fast-scaling climate tech company backed by investors is looking for a Director of AI & ML to lead the development of advanced machine learning solutions that help global banks, insurers, and real estate firms understand and act on physical climate risk. You’ll define the … ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing team of ML Engineers Take prototypes through to production, delivering meaningful product features powered … by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration . Define best practices for service-to-service communication and data management . AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows . Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape … as Code (IaC) , and monitoring frameworks . Enhance developer productivity , deployment velocity , and system reliability . Key Responsibilities Define and maintain product roadmaps for platform , infrastructure , and AI/ML tooling . Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience , system observability , and engineering efficiency . Foster a culture of … SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows , reliability , or deployment velocity . Hands-on experience with AI/ML platforms , MLOps , and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform More ❯

Data & ML Product Lead London (Hybrid) £85,000 - £105,000 We re partnered with one of the UK s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help … the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data … ML Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to drive continuous More ❯

at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing to do so More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage … comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative skills to define features that … bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. Needs to excel in fast More ❯

use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage … comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative skills to define features that … bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. Needs to excel in fast More ❯