1 to 25 of 45 Machine Learning Jobs in the City of London

Instructor to support delivery across the Machine Learning Engineer (Level 6) Apprenticeship and wider commercial programmes. If you're a passionate technologist who loves bringing complex ML concepts to life — from maths foundations to real-world deployment — this is your chance to make a real impact. What you'll do You'll play a key role in … helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their apprenticeship journey alongside Learner Success Coaches. ? Contribute … delivery meets the standards expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the More ❯

/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem 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 £50,000 and £70,000 + 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 ❯

schem We are seeking a motivated Junior Data Engineer to join our growing Analytics function. This role offers an exciting opportunity to work at the intersection of data engineering, machine learning, and reinsurance analytics. You will work closely with the Data Engineering Lead, Machine Learning team, and a broad range of stakeholders to support the design … solutions. This role is well-suited for someone who has already gained some hands-on experience in data engineering and is now looking to deepen their technical skills while learning the complexities of the reinsurance and analytics domain. Purpose of the role Support the design and development of data automation solutions, ETL/ELT processes, and pipelines that form … the foundation of exposure, loss, and profitability analytics. Assist in the movement, transformation, and quality assurance of data across Azure cloud compute platform. Collaborate with machine learning engineers, catastrophe modellers, actuaries, analysts, and brokers to ensure timely delivery of accurate, automated data solutions. Key responsibilities Support the building, testing, and maintenance of data pipelines and workflows. Assist in More ❯

complex geospatial data, and offers real-time or near-real-time insights. You will have the opportunity to work on cutting-edge technologies, including distributed computing, cloud infrastructure, and machine learning, to deliver a world-class platform that powers critical data-driven applications. Key Responsibilities: Platform Development & Optimization: Design, develop, and optimize the core software platform to handle … on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows and streaming … Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial More ❯

transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to … organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and More ❯

Senior AI & Machine Learning Instructor - Apprenticeship & Commercial Delivery Remote (UK) £55,000 - £70,000 DOE Full-time, 9am-5pm (occasional global sessions) Join a world-leading digital educator shaping the next generation of Machine Learning Engineers click apply for full job details More ❯

and adoption. Key Responsibilities Cloud Strategy & Innovation Define and lead the global Azure cloud strategy, ensuring alignment with digital transformation and business goals. Drive the adoption of AI and machine learning capabilities within Azure to improve efficiency and enhance customer experience. Continuously assess emerging technologies and trends to evolve the cloud roadmap. Architecture & Design Partner with Microsoft and … Transformation Collaborate with architects and engineering teams to modernise legacy systems and enable cloud-native development. Lead the integration of Azure AI services (including Azure OpenAI, Cognitive Services, and Machine Learning) into key business applications. Global Operations & Service Delivery Oversee 24/7 global cloud operations, ensuring optimal availability, performance, and reliability. Implement and manage service support models … years focused on Azure cloud strategy and operations. Proven track record managing large-scale, global cloud environments and distributed teams. Deep expertise in Azure services, cloud architecture, AI/ML integration, and managed service delivery. Excellent leadership, communication, and stakeholder management skills. Strong financial acumen, with experience in cloud cost optimisation and budgeting. Demonstrated ability to build and evolve modern More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and More ❯

and Databricks Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness Develop and maintain data quality checks and monitoring tools to ensure … volunteer days to get involved with a charity of your choosing. Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed. Learning & Development - Investment in LinkedIn Learning for all colleagues. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this More ❯

Development, Automation and AI Manager Role Overview We are seeking an exceptional Development, Automation and AI Manager to lead our development team whilst driving automation initiatives and AI/ML integration across our technology organisation. This is a strategic leadership role for someone who can bridge cutting-edge technology with tangible business outcomes. Key Responsibilities Lead and mentor a development … staff and 3rd-party), fostering a culture of innovation and continuous improvement Drive automation initiatives across the organisation, identifying opportunities for efficiency gains through intelligent automation Integrate AI/ML capabilities into existing systems and develop new AI-powered solutions Establish and maintain coding standards, architectural decision-making processes, and technical debt management Create and execute technical roadmaps aligned with … teams of 8-15+ engineers Experience with code reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

distributed systems, microservices architecture, and event-driven patterns. Demonstrated experience with real-time applications and data streaming technologies (e.g., WebSockets, gRPC, Kafka). Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP 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 ❯

etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most More ❯

and implement data pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP 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 ❯

skills and experience Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept to deployment to continuous improvement. Create More ❯

runtime systems, type systems, domain-specific languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning systems, networking, storage, cloud and edge computing, data systems, real-time systems, and high-performance computing. Security, including cryptography and post-quantum security, usable security and human … performance of colleagues Good leadership skills A willingness to undertake any necessary training and development activities for the role A commitment to high quality teaching and fostering a positive learning environment for students What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for More ❯

DevOps Experience designing and implementing secure systems Leadership experience Desirable Skills: Exposure to real-time data environments Interest in IOT, Electronics or wearable technologies Understanding of data science and machine learning principles Lead Solutions Architect - AWS Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do More ❯

asset, credit, etc.) Knowledge of model risk management Experience working outside regulated risk environments Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What youll get in return Up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. Youll work from the London More ❯

production, and case management within Relativity. Responsible for the successful end-to-end delivery of eDiscovery projects, including processing data, creating productions for disclosure/investigation, leveraging TAR and machine learning functionality, GenAI solutions, Early Case Assessment tools and case management tools. Keep up to date with developments by attending seminars/presentations on relevant services and technology More ❯

R, Python) and Microsoft Office suite, especially Excel and PowerPoint Experience with self-service dashboards – ideally using PowerBI/R Markdown/Python or Tableau Academic applied knowledge of machine learning/statistical modelling techniques Snowflake SQL experience would be beneficial Ability to provide input into, feedback on, and follow a project schedule. Before you apply for a More ❯