6 Data Scientist jobs

An excellent opportunity for an experienced Senior Software Developer to join a high-performing technology team responsible for architecting, developing, and enhancing sophisticated trading and research systems. This role would suit a strong C#/.NET engineer who enjoys solving complex technical problems and wants to have genuine influence over the architecture and direction of the systems they build. You will work on a combination of greenfield development and the continuous improvement of established platforms, building high-performance, reliable and scalable applications that directly support real-world trading strategies and quantitative research. As a senior member of the engineering team, you will have the opportunity to influence technical architecture, development standards, performance optimisation and engineering best practices, while working closely with researchers, traders and other technical specialists. Key Responsibilities Design, develop and maintain high-performance applications using C# and modern .NET Take ownership of significant software development projects from initial design through to production Contribute to and lead architectural and technical design decisions Design and develop scalable systems supporting automated trading, research and data-driven applications Work closely with quantitative researchers and traders to understand requirements and translate them into robust technical solutions Develop, optimise and maintain relational database solutions using SQL Server, Oracle or equivalent Identify and resolve performance bottlenecks across applications, databases and supporting infrastructure Develop solutions with a strong focus on reliability, scalability, maintainability and performance Contribute to the design of multi-threaded, concurrent and potentially distributed applications Participate in code reviews and maintain consistently high engineering standards Establish and promote software development best practices across the team Mentor and support junior and mid-level developers Contribute to development tooling, automation, testing and continuous improvement initiatives Investigate complex technical issues and provide effective, long-term solutions Help shape coding standards, development processes and overall engineering practices Stay current with developments across the C#/.NET ecosystem and modern software engineering practices Essential Skills & Experience 5+ years' professional software development experience Strong commercial experience developing applications using C# and modern .NET Excellent understanding of object-oriented programming, software design principles and architecture Proven experience designing and developing production-grade, scalable software systems Strong experience working with SQL Server, Oracle or another enterprise relational database Experience developing reliable applications where performance and scalability are important Strong problem-solving and analytical abilities Experience working across the full software development lifecycle Strong understanding of software engineering principles, development methodologies and version control Excellent written and verbal English communication skills High level of attention to detail and a methodical approach to problem solving Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering or another relevant scientific/technical discipline Desirable Technical Experience Experience developing multi-threaded and concurrent applications Understanding of asynchronous programming and parallel processing Experience with TCP/IP, UDP or network programming Experience building low-latency or high-throughput applications Experience working with Git or other distributed version control systems Strong understanding of Windows development technologies Experience with automated testing and continuous integration Exposure to distributed systems and service-oriented architectures Experience with performance profiling and application optimisation Familiarity with financial markets, quantitative research, algorithmic trading or trading systems Experience working alongside quantitative analysts, researchers, traders or data scientists Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Job Title: Senior AI Engineer - Product Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.

Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.

Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.

Founding Data Scientist / Machine Learning Scientist Fully remote role - Odd trip to London office Subriction - Service based business We're working with an exciting business that is building its data science capability in-house for the first time, and they're looking for a Founding Data Scientist to shape the function from the ground up. This is a genuinely hands-on role where you'll have ownership of the full data science lifecycle - from defining the modelling approach and building predictive models through to creating scalable, repeatable and production-ready solutions. The initial focus will be on customer churn and complaint propensity , alongside forecasting and other predictive modelling opportunities. You'll be responsible for building the models, documenting the methodology and establishing the overall approach that can be embedded and scaled across the business. What we're looking for We're particularly interested in Data Scientists who have built churn propensity models before , ideally within a subscription-based or service-led business where customer retention is a key commercial challenge. You'll need to be comfortable working independently and owning the end-to-end process without relying heavily on Data Engineering or a separate ML Engineering function. This means being able to take models from concept through to productionisation and build approaches that are scalable, repeatable and robust . Key skills Strong commercial Data Science / Machine Learning experience Proven experience building customer churn / propensity models Strong Python and SQL Experience taking ML models into production Ability to design and document modelling approaches from scratch Strong understanding of forecasting and predictive analytics Experience working with subscription, recurring revenue or field/service-based businesses is highly desirable Microsoft technology stack experience Experience using LLMs to analyse classified/unstructured data would be a bonus This is a rare opportunity to join at the beginning of the journey and define how Data Science is done within the business , rather than simply inheriting an existing framework. If you've built churn models before and want genuine ownership, autonomy and the opportunity to build something from the ground up, we'd love to hear from you. GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.