1 to 25 of 67 Machine Learning Jobs in Central 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 ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

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 ...

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. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models ...

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. … 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 ...

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 ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

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 ...

only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues … tools (for example Azure, Databricks, Power BI or Tableau).A collaborative and inclusive leadership approach, with curiosity about emerging technologies such as AI and machine learning and how they can be applied responsibly.Additional informationWe're always looking to recognise and reward our employees for the work they do. ...

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 ...

across all police forces. What you need to succeed in the role Extensive understanding of data analytics methodologies, statistical techniques, and the application of machine learning and artificial intelligence (AI) within the policing or public sector. Experience in rolling our new analytical capabilities across a complex environment, preferably ...

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 ...

help embed AI across the organisation and deliver solutions that drive measurable outcomes.What will I be doing?Design, build, and deploy scalable AI and ML models using GenAI, LLMs, and orchestration frameworks.Develop robust backend systems in Python, optimised for cloud-native environments and production use.Implement MLOps best practices including … inference.Ensure all AI systems are secure, ethical, and aligned with responsible AI governance standards.What do I need?Strong hands-on experience within AI/ML engineering, with a strong track record of building and deploying real-world GenAI applications.Proficient in Python and experienced in developing scalable, cloud-native backend systems.Solid ...