AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in … You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and … edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯
insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯
functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into … and non-experts. Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution. Bonus points if you have Experience in marketplace dynamics, matching algorithms, or supply/demand optimization. Experience with survey exchange platforms. Knowledge of dynamic pricing models. Experience with Databricks and using it for scalable data processing and machine learning workflows. Experience More ❯
Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering … Collaborative Attitude: You value cross-functional teamwork and can pivot between researcher mode and software engineer mode depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary More ❯
Download our latest report - Protecting & growing your payments business - At Thredd, we are seeking a highly skilled Senior Software Engineer with expertise in C# and Python to join our dynamic team in the fintech sector. The ideal candidate will be More ❯
Download our latest report - Protecting & growing your payments business - At Thredd, we are seeking a highly skilled Senior Software Engineer with expertise in C# and Python to join our dynamic team in the fintech sector. The ideal candidate will be More ❯
Press Tab to Move to Skip to Content Link JOB BAND: D CONTRACT TYPE: Fixed-term Contract (12 months) DEPARTMENT: BBC CCOG Audiences Data LOCATION: London Broadcasting House or Salford Dock House - Hybrid (2 days a week in the office More ❯
Senior Quantitative Analyst page is loaded Senior Quantitative Analyst Apply locations London time type Full time posted on Posted 8 Days Ago job requisition id CMC4597 CMC Markets strives to provide the best trading experience for a wide spectrum of More ❯
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we More ❯
Social network you want to login/join with: Do you love solving complex problems in Python and want to build real-time payment platforms used by leading fintechs? At Thredd, we are seeking a highly skilled Senior Software Engineer More ❯
Quantitative Research - Athena Analytics Developer - Executive Director Join to apply for the Quantitative Research - Athena Analytics Developer - Executive Director role at JPMorganChase Continue with Google Continue with Google Quantitative Research - Athena Analytics Developer - Executive Director Join to apply for the More ❯
Leicester, Leicestershire, United Kingdom Hybrid / WFH Options
Hastings Direct
At Hastings Direct, storing your data securely is very important to us. Please see our Data Protection Statement and Job Application Terms & Conditions here for details on how your information will be stored. Senior Data Scientist - Pricing page is loaded More ❯
Senior C++ Software Developer, Python - Financial/Banking Candidates will have 5+ years C++ experience (ideally more) and excellent knowledge of Python - ideally coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and More ❯
looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready … These ranges may be modified in the future. Responsibilities Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. Preprocess and manage large-scale, continuous time-series datasets from wearable sensors. Collaborate with clinical, product, and regulatory teams … to ensure solutions align with FDA, SaMD, and GMLP requirements. Optimize algorithms for deployment on resource-constrained devices (e.g., edge, mobile, embedded systems). Run thorough validation experiments including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical More ❯
typically 2-3 days per week in the office £60,000–£75,000 depending on experience Do you love diving deep into problems and crafting elegant, efficient signal processing algorithms? This is a hands-on, technical role where your work will feed directly into mission-critical radar systems used in national defence. You’ll be part of a close-knit … highly skilled engineering team working across the full development lifecycle. From building MATLAB models to defining and validating algorithms, you’ll take real ownership of the technical solutions you design—without any line management or people oversight. Just uninterrupted problem-solving. What You’ll Be Doing Designing and developing advanced signal processing algorithms for radar platforms Using MATLAB to model … develop, test, and validate performance Defining and managing system and sub-system requirements using IBM DOORS Next Collaborating with design leads and fellow engineers to integrate your algorithms into wider radar systems Applying Systems Engineering principles (ISO 15288) across the full lifecycle Who We’re Looking For Someone with a background in Software Engineering , Physics , Computer Science , or similar Strong More ❯
when it's delivered at the doorstep. We're hiring an Operational Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone … on, high-impact role in a high-performing team with strong exposure to both technical architecture and network operations. What you'll do Design, prototype, and iterate on routing algorithms and models across first, middle, and last mile Work directly with data analysts to benchmark routing performance and quantify gains from proposed improvements Analyse our routes to identify inefficiencies in … routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring a scientific lens to operational design; measure rigorously, test thoughtfully What we More ❯
Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte … scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that interests you, then this opportunity is for you. More ❯
what's possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today. Responsibilities Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. Identify bottlenecks in data processing pipelines and devise … effective solutions, improving performance and reliability. Maintain high standards of code quality, organization, and automatization across all projects. Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. Write and revise papers, participate in conferences, communicate and disseminate results. Basic Qualifications: Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or … another quantitative field. 3+ years of experience of working in industry or research. Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch. Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling. Strong scientific background and ability to formulate and test novel hypotheses More ❯
PLS ) applied machine learning team . As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Recommender systems and relevance algorithms are foundational capabilities that have a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This role will be pivotal in … skills with deep commercial acumen to drive substantial value for PLS and our partners. In this role, you will: Lead development of advanced ML-powered recommender systems and relevance algorithms at scale. Architect end-to-end ML solutions for high-throughput, low-latency personalized recommendations across partner segments. Provide technical leadership and mentorship, fostering innovation and continuous learning. Collaborate cross … experience deploying large-scale recommender systems in high-volume, low-latency environments. You translate business needs into technical solutions with strong commercial acumen. You possess deep knowledge of ML algorithms, especially in recommendation and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in More ❯
selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience … to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform More ❯
model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainlines extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … rigorous learning and experimentation We'd love to hear from you if you... Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience … to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Arm Limited
alignment with hardware RTL designs. Enhancing Frameworks: Develop and maintain C/C++ frameworks that support Media IP modelling, ensuring feature completeness, scalability, and seamless testing. Code Optimisation: Implement algorithms with a strong focus on efficiency. Minimise computational and memory resource usage while meeting performance goals. Collaboration with Image Quality Specialists and Researchers: Work with experts to create test cases … Skills and Experience : Modern C++ Proficiency: Extensive experience with modern C++ standards (C+ and newer). Strong understanding of the Standard Template Library (STL) for efficient programming. Awareness of Algorithms and Data Structures: Understand their use cases, strengths, and limitations. While AI and libraries handle many implementations, knowing when and why to apply these concepts is crucial for solving complex … and documentation. "Nice To Have" Skills and Experience : Image Processing Fundamentals: A basic understanding of image processing techniques, such as de-noising, filtering, tone mapping, demosaicing, and other related algorithms, enabling you to contribute meaningfully to our media-focused projects. Video Codec Experience: Familiarity with standard video codecs (e.g., H.264, H.265, AV1) and their integration in media pipelines. GPU Programming More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Ecm Selection
growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers … to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute More ❯
the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. Example Projects The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of … test, and refine alpha signals and systematic trading strategies across asset classes. Design and rigorously backtest trading models, ensuring statistical robustness and real-world applicability. Develop and optimize execution algorithms (VWAP, TWAP, Participation, SOR) to enhance trading performance and minimize market impact. Monitor and maintain real-time trading systems, proactively addressing issues in execution, risk, and P&L. Perform post … with strong skills in Java and/or Python. Proficient in Pythons data science ecosystem (Pandas, NumPy, Scikit-learn) with solid debugging and analytical capabilities. Demonstrated experience implementing trading algorithms and working on large-scale distributed systems. Familiarity with transactional systems using modern databases like Aurora or DynamoDB. Exposure to front-office trading environments, ideally with FX or crypto markets. More ❯