1 to 25 of 58 Machine Learning Jobs in the City of London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking … environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design ...

Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will: Design, develop and scale NLP and GenAI capabilities to optimise business processes. Build out a robust … GenAI application technology stack, from experimentation through to production. Develop, maintain and improve existing ML pipelines, data transformation workflows and MLOps practices. Create serverless data/ML pipelines in cloud environments (Azure preferred). Work closely with architects, senior developers, product owners and business analysts to shape requirements, solution design ...

global investment firm is hiring a Lead Machine Learning Engineer. Hybrid position. Paying up to £1600 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer (AI), Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ Strong experience working with … components Work closely with product and data leads to select and integrate third-party AI services Own infrastructure decisions and help define internal ML engineering best practices Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ Hybrid ...

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 … 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 ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills ...

hybrid approach to work. The Role The company is hiring a Machine Learning Engineer at Tech Lead level to join a central ML team supporting Product and Engineering groups. You will design and productionise ML, optimisation and GenAI solutions that sit at the core of their platform. Projects … include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities ...

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent ...

global investment firm is hiring a Lead Machine Learning Engineer. Hybrid position. Paying up to £1600 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer (AI), Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ Strong experience working with ...

Machine Learning Engineer (Tech Lead) London, Bristol or Edinburgh We are working with a leading energy technology company that has built a major intelligence platform used by global energy and automotive brands. Their work helps accelerate the shift to reliable and affordable clean energy. The business operates internationally ...

deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types … design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software ...

analytics projects to support business objectives. Collaborate with stakeholders to identify opportunities for leveraging data-driven strategies. Oversee the development and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and analysts. Ensure the quality and accuracy of data used for decision … LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills in relevant languages such as Python or R. Exceptional problem-solving skills ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap …/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications click apply for full job details ...

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 … 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 ...

manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high-quality maps, dashboards …/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly to diverse audiences. ...

enhance CRM strategies Provide data-driven recommendations to improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied 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 ...

Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication ...

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 ...

play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams ...

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 ...

Review solution designs, code approaches, and system performance to maintain engineering quality. Stay current with emerging technologies (event-driven design, serverless, containers, AI/ML, data modernisation) and advocate where valuable. Troubleshoot and resolve technical challenges during build and release phases. Partner with DevOps teams to ensure seamless integration, automation ...

salary £60,000- £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity … Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure ...

technology Architected seamless integrations between CRM, CMS, analytics, and other Back Office systems Led the development of data-centric applications and workflows, including ML and AI capabilities Built reusable platforms for web, mobile, and tablet experiences Set architectural principles across the delivery life cycle Aligned internal teams and external vendors ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

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 ...