Average Machine Engineer salary in 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 and develop machine learning models to address key business challenges in the insurance sector.Collaborate with the analytics team to identify opportunities for leveraging data-driven solutions.Deploy machine learning algorithms into production environments efficiently.Optimise model performance and ensure scalability for large data sets.Analyse and interpret data to provide actionable insights for stakeholders.Stay updated with the latest advancements in machine learning and data science technologies.Document processes and create clear, concise technical reports.Support team members in the implementation of data-driven strategies. Profile Machine Learning Engineer A successful Machine Learning Engineer should have: Proven expertise in machine learning techniques and tools.Strong programming skills in Python or similar languages.Experience working in data-intensive environments, particularly in the insurance industry.Knowledge of deploying machine learning models in production systems.A solid understanding of data analytics and statistical methods.Excellent problem-solving skills and attention to detail. Job Offer Machine Learning Engineer Competitive salary ranging from £75,000 to £100,000 per annum.Comprehensive benefits package to support your well-being.Opportunity to work in a leading organisation within the insurance industry.Collaborative and innovative work environment in London.Chance to work on impactful projects using the latest technologies. If you're a passionate Machine Learning Engineer looking to make a difference in the insurance industry, we encourage you to apply and be part of this exciting opportunity in London.

Our client is a leading technology company developing groundbreaking laser communications systems and software-defined networking platforms for the aerospace industry. With technology acquired from Google, they’re at the forefront of innovation in satellite and airborne mesh networks, cislunar, and deep-space communications transforming how the world connects across land, sea, air, and space.The OpportunityWe’re looking for an experienced Machine Learning Engineer to join our client’s Spacetime team in the UK. This is a hybrid role combining ML research and development, where you’ll apply cutting-edge algorithms to solve complex temporospatial networking and resource management challenges.You’ll work in a highly collaborative, international environment — developing real-world AI applications that help shape the future of planetary-scale communication systems.Key ResponsibilitiesResearch and develop state-of-the-art machine learning algorithms for network orchestration problemsBuild and manage ML training infrastructure using Kubernetes clusters and modern MLOps toolingWrite clear documentation and reports for novel algorithms developed by the teamIntegrate AI models with the broader Spacetime platform to ensure seamless functionalityAct as a technical communication expert, interacting with customers and partners on ML-related technologiesRequired Skills & ExperienceMaster’s or PhD in Computer Science, Mathematics, Statistics, or a related ML disciplineProficiency in Python and at least one deep learning library (PyTorch, TensorFlow) or optimisation library (Gurobi, CBC, Google OR-Tools)Strong technical communication skills and the ability to work across multi-disciplinary teamsSkilled in writing clean, maintainable, and efficient codeEnthusiasm for promoting innovative technology solutionsPreferred QualificationsExperience in wireless communication, satellite systems, or software-defined networkingPrevious involvement in technical sales, demos, or product pitchesExperience writing tests for software or ML algorithmsFamiliarity with C, C++, or GoWhat’s on OfferOpportunity to lead high-impact, innovative projects in space technology and digital infrastructureCompetitive compensation, pension, private health insurance, and equity optionsHybrid and flexible working arrangements (UK-based remote)Exposure to AI-driven networks, space-ground integration, and cloud mission controlWork alongside international research centres and technology partners in a forward-thinking, inclusive teamEligibilityApplicants must have the right to work in the United Kingdom.Equal OpportunityOur client is proud to be an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. We encourage applications from all qualified individuals, regardless of background, identity, or experience.

Our client is a leading technology company developing groundbreaking laser communications systems and software-defined networking platforms for the aerospace industry. With technology acquired from Google, they’re at the forefront of innovation in satellite and airborne mesh networks, cislunar, and deep-space communications transforming how the world connects across land, sea, air, and space.The OpportunityWe’re looking for an experienced Machine Learning Engineer to join our client’s Spacetime team in the UK. This is a hybrid role combining ML research and development, where you’ll apply cutting-edge algorithms to solve complex temporospatial networking and resource management challenges.You’ll work in a highly collaborative, international environment — developing real-world AI applications that help shape the future of planetary-scale communication systems.Key ResponsibilitiesResearch and develop state-of-the-art machine learning algorithms for network orchestration problemsBuild and manage ML training infrastructure using Kubernetes clusters and modern MLOps toolingWrite clear documentation and reports for novel algorithms developed by the teamIntegrate AI models with the broader Spacetime platform to ensure seamless functionalityAct as a technical communication expert, interacting with customers and partners on ML-related technologiesRequired Skills & ExperienceMaster’s or PhD in Computer Science, Mathematics, Statistics, or a related ML disciplineProficiency in Python and at least one deep learning library (PyTorch, TensorFlow) or optimisation library (Gurobi, CBC, Google OR-Tools)Strong technical communication skills and the ability to work across multi-disciplinary teamsSkilled in writing clean, maintainable, and efficient codeEnthusiasm for promoting innovative technology solutionsPreferred QualificationsExperience in wireless communication, satellite systems, or software-defined networkingPrevious involvement in technical sales, demos, or product pitchesExperience writing tests for software or ML algorithmsFamiliarity with C, C++, or GoWhat’s on OfferOpportunity to lead high-impact, innovative projects in space technology and digital infrastructureCompetitive compensation, pension, private health insurance, and equity optionsHybrid and flexible working arrangements (UK-based remote)Exposure to AI-driven networks, space-ground integration, and cloud mission controlWork alongside international research centres and technology partners in a forward-thinking, inclusive teamEligibilityApplicants must have the right to work in the United Kingdom.Equal OpportunityOur client is proud to be an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. We encourage applications from all qualified individuals, regardless of background, identity, or experience.