176 to 200 of 484 Permanent Machine Learning Jobs in London

closely with Monetization researchers Develop and manage high quality, robust and efficient data and model pipelines Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment. Build automated tools to evaluate model performance Work closely with quantitative, portfolio researchers to improve the profitability … of trading tactics Qualifications: 5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus … and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis more »

trading strategies in a multi-billion trading group; using sophisticated quantitative statistical techniques work directly with the head of trading on developing and implementing machine learning models, design of the strategies and managing the micro-market structure and algorithms in C++ and Python. Key Responsibilities: Assist in developing … core algorithms and models leading directly to trading decisions Working with the machine learning lab on developing trading results. Work closely with traders to interpret valuations and develop next-generation models and analytics. Work on the high-level architecture of C++ and python models and various strategies. Provide more »

strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to analyse large data sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills … record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical analysis, machine learning, and data manipulation. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative, fast-paced environment. Strong more »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to … Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest in US more »

generation, and strategy implementation, contributing to profit generation across a range of trading strategies. Key Responsibilities: Conduct research using classical statistical methods and modern machine learning techniques to identify and develop new trading strategies. Analyze large datasets to uncover patterns and insights that can drive alpha generation. Collaborate … is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work both independently and collaboratively in a fast-paced more »

demands and driving the development of new features. Your primary focus will be on our edge-computing stack, which includes building edge applications, deploying machine learning models, optimizing platform runtime, and enhancing observability and telemetry. Responsibilities Include: Developing edge applications for processing vision data and communication layers for … compute-constrained edge devices. Deploying machine learning models into production environments. Optimising platform runtime for maximum performance, predominantly in C++ with GPU utilization. Building observability and telemetry mechanisms. Requirements: Minimum 3+ years of experience in C++ development for production software. Proficiency in building applications processing real-time data …/CD pipelines. Preferred experience in one or more of the following: Edge/IoT computing Infrastructure management Monitoring Video processing & streaming Interfacing with ML models High intrinsic motivation, commitment to excellence, and a strong work ethic. Senior C++ Engineer | £90,000 - £120,000 | C++, Low Latency, Optimisation | London more »

Machine Learning, Artificial Intelligence and a fresh approach to physical security. Not the kind that asks you for identification, but the kind that has been widely underutilised and if you’ve ever seen Crimewatch, neglected by many organisations. You will be working with a team of engineers spread … and opportunity. Being an IoT start-up, you’ll have a direct impact on multiple areas of the product lifecycle. Whether you’re deploying learning models or developing new features for telemetry, you will be making a difference. The codebase here is largely written in C++ and will certainly … of experience levels. The salary on offer is up to £120k. Interested in joining a start-up with some of the industry leaders in ML/AI? Get in touch. No up-to-date CV required. more »

optimize customer engagement predicting lifetime value alongside highly tailored marketing strategies. Developed by a phenomenal team of expert data scientists their sophisticated algorithms utilize machine learning models to determine the most effective actions for each customer. Backed by a globally recognised venture capital firm they have garnered significant … industry (casino/sports betting) or other relevant verticals Strong understanding of CRM and CRM automation systems Solid knowledge and passion for AI and machine learning Experience with fundraising and investor relations would be beneficial Based in London or open to relocation more »

leading automation projects to completion. • Exp automation tools and technologies, such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML). • Environment Agile, DevOps Desirable experience with OTT, Broadcasting, Video Processing/Delivery in Media and Entertainment domain. Apply by sending your CV to: sean more »

Location: London, UK Open to: Hybird, Remote, On-site About us: Algo Capital is a leading global talent search firm focused on Quantitative Trading, Machine Learning, Trading and High Performing Computing Technologies. We build exceptional teams for top tier financial and tech first firms across the US, EMEA … Consultant to join our London-based technology team. Who you are: Proven track record in high-performing technical recruitment teams (quantitative trading, fintech, Crypto, Machine Learning, Technology) Agile and adaptive, showcasing confidence in navigating fast-paced trading and technology environments Extensive experience collaborating with diverse clients to build … candidates and clients Mentor and train junior recruitment consultants on industry-specific best practices Benefits: Competitive commission structure (£100-£300K OTE) Strong leadership training, learning development initiatives, and bespoke automated systems Employee-led communities, social clubs, and a collaborative culture where people thrive Low admin, allowing focus on high more »

focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business’s utilizing our single version of data truth which will power all … R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post-qualification work experience to include: Working with large third-party vendors more »

A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate ML Processes: Integrate machine learning solutions into existing systems … and automate workflows. Deploy and Scale Models: Manage the deployment of ML models to production, ensuring scalability. Monitor and Optimize: Oversee model performance and conduct periodic tuning. Collaborate on Innovations: Work with cross-functional teams to improve model performance and implementation practices. Ensure Security: Adhere to security and compliance standards … in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/ more »

ML Engineer – Founding team – LLM Startup (AI Alignment) – upto £200k Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you have … ll be a founding member!) Fuel your innovation with $5M in seed funding We're looking for someone who can: fluently the languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...) inference servers like multi-LoRa, LoRA Exchange, TitanML ️ multi-node HPC clusters like a pro ️ Deep Learning with PyTorch more »

domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Apply now for immediately consideration for this Software Engineer opportunity. Understanding more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community.We host and sponsor London’s PyData and Machine Learning MeetupsWe open-source some of our technology. See https://github.com/man-group We regularly talk at leading industry conferences … table-football, and a piano.We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.Technology and Business SkillsWe strive to hire only the brightest and more »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »

including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery … Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and frameworks • Java 8+, JavaScript, Python • Common frameworks and APIs such as Spring Boot, Guice, Jersey, Node.js, Flask • Knowledge of JVM, its limitations, weaknesses, and workarounds • Building more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science … into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure … GCP). Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out more »

few years experience within data science with exposure to Data Engineering/ML. Job Responsibilities/Outline of job Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex datasets Hands on/technical experience with Model development Communicate findings, recommendations, and … such as Python, SQL, Snowflake, dbt Ability to contribute to team efforts & work independently Strong Data Science understanding with exposure to Data Engineering/ML Strong understanding of ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this more »

and present findings and recommendations to senior management Work with data analytics colleagues across ICE exchanges to develop and integrate predictive analytics, artificial intelligence, machine learning and other new technologies in support of developing market and client analytics Develop requirements for ICE development and IT teams that may more »

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »