51 to 75 of 172 Machine Learning Jobs in the City of London

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 ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

+ 10% bonus + 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models More ❯

AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure, or Redshift. A creative More ❯

and their families across the UK. In this role, you’ll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. 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 ❯

s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily 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 ❯

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 ❯

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 ❯

to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The … sharing insights and experience of using emerging technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best … yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which More ❯

funding and ambitious expansion plans, they are now hiring exceptional talent to build out their Data Science team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software to ecommerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform. You will operate as part … are hiring for an experienced generalist Senior Data Scientist with a range of skills across the following areas: Route cause analysis, optimisation & clustering, forecasting, LTV modelling, statistical regression and machine learning You will be joining a high-calibre team, with significant opportunities for career development in a hyper-growth, AI-driven business. If you thrive in high-performing … commercial context, comfortable with fast paced, rapid growth culture. Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems. A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment. 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 ❯

We are looking for a Data Scientist to help the Applied AI team in the Bank, holding expertise in machine learning and AI capabilities, working on ML/AI model development, evaluation and deployment based on large-scale data processing. Long-term project London Hybrid - Max Three Days in the office Rate 550-600 Position Overview: Conducts strategic … SAS/Python/pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen 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 ❯

minded expert - to play a key role in shaping the future of AI and data science delivery. This is an exciting opportunity to work at the cutting edge of machine learning and generative AI, addressing real-world business challenges. With the freedom to innovate and the support of a collaborative and expanding team, you'll have the chance … deliver data science and GenAI solutions that drive tangible value for clients Act as a trusted advisor, translating complex business needs into technical solutions using a tailored mix of ML and GenAI techniques Identify opportunities for added value and innovation within client engagements Cultivate strong client relationships through clear, consultative communication and dependable delivery Lead discovery sessions and workshops to … blog posts, and strategic insights Foster a culture of collaboration, innovation, and continuous improvement Skills & Experience Demonstrated expertise in data science and AI, with a strong portfolio of successful ML and GenAI project delivery Practical experience in building, deploying, and maintaining production-grade models Strong communication skills with the ability to engage a wide range of stakeholders Hands-on experience More ❯

sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI More ❯

a new Lead 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 projects across areas such as customer … 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. Mentor and guide junior … science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. 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 More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

lead analysis of complex data sets to uncover insights that drive strategic recommendations for AI roadmaps, operating models and technology decisions Manage diverse teams spanning data engineers, AI/ML experts, business analysts and client personnel to deliver AI solutions within scope, timeline and budget Build meaningful relationships with key client stakeholders and executive sponsors to manage expectations and gain … team members to help them grow consulting, AI and leadership capabilities Proactively identify and mitigate risks associated with AI solution development and implementation Cultivate a culture of innovation, continuous learning and knowledge sharing within AI consulting teams Qualifications: 10+ years of management/strategy consulting experience … including 2-3 years as a Partner or equivalent role Bachelor's degree required from top rated university; graduate degree or MBA preferred Required Skills: Expertise in AI/ML technologies, data engineering, cloud architecture, and software development life cycles Demonstrated ability to structure and solve ambiguous, data-driven business problems Strong communication and executive presentation skills with ability to More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product 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 ❯

Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling is desirable. More ❯