1 to 25 of 59 Remote Machine Learning Jobs in the City of London

applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of … learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing … and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar More ❯

helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning … ensure clean, accessible, and production-grade data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL … GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration 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 ❯

Lead/Senior Machine Learning Engineer £110,000-£120,000 Bonus up to 10% Shares so as they continue to grow you benefit to Hybrid working - one day a week London (with door always open policy) Are you a innovative, decisive Machine Learning Engineer looking for your next challenge? This is your chance to join a … deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great success have hit profitability and now want to grow through strategic … and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

future reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a … Agile methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or More ❯

this expansion, they’re looking for an experienced Data Scientist to join their fast-paced, agile environment on a 6-month hybrid contract . Key Responsibilities: Design and deploy machine learning models for risk scoring, customer segmentation, and product optimisation Analyse large financial datasets to uncover trends and support product and credit teams Develop custom statistical models for … teams Contribute to scalable data pipeline and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g., scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

About the Role As a Senior Data Scientist, you’ll take ownership across the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills … a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys solving problems and improving processes Has hands-on experience developing underwriting or behavioural credit models - Expect to be using your skills to … key aspect of the role — Be ready to bring your team's ideas to life! It’s a plus if you also have: A Master’s in Data Science, ML, or a related field Credit card industry knowledge Experience with deep learning (Keras, TensorFlow) Familiarity with GitHub or Bitbucket Tableau experience or similar An interest in applying research to More ❯

are looking for an experienced Contract GenAI Lead to spearhead the development and deployment of generative AI solutions. The ideal candidate will have a strong background in AI/ML with a focus on generative AI technologies, such as transformers, LLMs, and diffusion models. This role involves architecting, implementing, and scaling GenAI solutions that meet complex business needs. You will … strong potential for extension Location: Fully remote IR35 Status: Outside IR35 Rate: £400 - £450 per day Experience Required: At least 5 years of hands-on experience in AI/ML with a focus on generative AI Responsibilities: Lead the design, development, and deployment of generative AI solutions tailored to business requirements Collaborate with data scientists, engineers, and business teams to More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. … Collaborate on large-scale retail problems with real customer impact. Enjoy flexible working, your birthday off, and an inclusive, values-driven culture. Be part of a team where experimentation, learning, and agility are encouraged. Access cutting-edge tech and play a key role in shaping next-gen retail solutions. More ❯

journeys. Start yours now! If you would like to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals … data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic learning initiatives of our organization while in parallel developing HR and data-centric skills … based on daily activities and interactions with the broader leadership and global teams. HR Learning & Competency Internship lasts for 1 year duration starting from Summer 2025 and will be based in our London HQ office. Responsibilities and Duties: Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large More ❯

creation workshops to define and a prioritize Innovation and GenAI use cases that deliver results. Design and deliver UX and innovation framework as an iterative process and enabling continuous learning and adaptation across Risk and Compliance function. Collaborate with cross-functional teams, including product owners (PO), IT, data scientists, engineers, and business to collect and gain insights, shaping knowledge … Key Requirements & Experience Knowledge Knowledge and understanding in transformation with a focus on digital and change delivery Knowledge of the external environment – regulatory, political, competitors etc Exposure to AI, machine learning, or data-driven technology projects is an advantage Experience Proven ability to work across regions whilst maintaining a global perspective Strong analytical and problem-solving skills, with More ❯

opportunity to help shape how the world’s biggest brands put the right products in the hands of the right customers. If you're passionate about building robust, scalable machine … learning solutions and applying advanced statistical methods to real-world retail problems, this role offers both impact and innovation at scale. 🚀 What You’ll Do: Research and build ML-driven solutions using techniques like clustering, regularised regression, NLP, and neural networks. Develop science modules that are deployed globally across client accounts. Dive into high-dimensional retail data to uncover … Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation tools. Curiosity and ambition to push the boundaries of data science in a commercial setting. Experience in retail or customer-focused analytics More ❯

yet scientific approach with an emphasis on scalability and risk management. About The Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition … to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative More ❯

You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial More ❯

Head of Data Location: Hybrid (UK-based) Type: Full-time Our client help leading global businesses turn complex data into meaningful outcomes. Through strategic consulting, cutting-edge AI solutions, and deep domain expertise, we empower organisations to unlock the full More ❯

We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity … that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross … learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a More ❯

innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non … Tech company. Proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time … building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Academic Excellence (Russel Group University or Internship at a leading Tech company) Reference Number: BBBH257746 To apply for this role or for to be considered for More ❯

people they employ and will do everything to support you and your development. Role Overview: As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to … and develop, this is a consultant role and you will be working with key stakeholders in large financial institutions, good communication is essential. Requirements: Python Expertise Supervised and Unsupervised Learning NLP and OCR Experience Exposure to Modern Cloud Platforms (EG. Databricks, AWS) Abillity to Communicate Technical Concepts Nice to Have: Financial Services Experience … Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

on multiple, complex initiatives, drive continuous improvement on key metrics (business value, cost efficiency, speed and quality of delivery) and contribute to key decision making across the Data and Machine Learning engineering space on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Location/WFH: You can work from home most of 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 ❯

cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive virtual worlds. Our team is backed by top-tier investors, and we’re on a mission to reshape the economics and accessibility of … distributed environments (e.g., cloud-native, global teams, remote-first). Strong familiarity with blockchain/Web3 ecosystems, including decentralized networks, compliance nuances, and ecosystem partnerships. Exposure to AI/ML or compute infrastructure operations is a significant plus (e.g., managing GPU resources, vendor logistics, or infrastructure procurement). Understanding of open-source community dynamics and developer ecosystem needs. Experience leading More ❯