Head of MachineLearning £90,000-£130,000 Central London - Hybrid Working Im currently working with a well-established London FinTech wealth-management SAAS business, who are looking for a Head of MachineLearning to join their growing team on a hybrid basis! This award-winning … Main office in London but have a further 6 worldwide. Work with some of the largest FinTech companies globally. Looking to utilise AI/ML to simplify their processes and products. Award winning business and part of a wider wealth-management group. The Role Head of MachineLearning … a week in the office. Lead a small team of Data Scientists. Mostly technical but small amount of people management. Lead the integration of ML/AI across the companys core SaaS products. Work with clients & multiple teams to ensure AI solutions are implemented smoothly. Brand new role which offers more »
proportion of our sales. Our Engineering practice includes 60+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning. Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their more »
ML Architect - AI, MachineLearning, Architecture - 6 Month Contract - Inside IR35 Role Overview This high-impact, high-visibility position requires a deep understanding of AI/ML architecture, solutions, and modelling, along with strong communication skills to engage stakeholders across various functions and regions. You'll play a … pivotal role in fostering data and AI/ML initiatives across global operations, supporting the organisation's evolution into a data-centric enterprise. Responsibilities Solution Development : Translate the requirements of business and machinelearning engineers into scalable, efficient AI/ML solutions. Strategic Alignment : Ensure AI/ML … solutions align with strategic goals, delivering measurable business impact. Architecture Design and Management : Lead the design, build, and management of a comprehensive AI/ML architecture, maintaining end-to-end accountability. Collaborative Leadership : Work under the Principal AI/ML Architect to establish AI/ML architecture frameworks and design more »
now! For more information on this role or any other jobs across; FPGA, Mixed-Signal, Electronics, Hardware, Embedded, C++ programming, Embedded Linux, Golang Development, MachineLearning, Data Science or Simulation contact us today. . Tagged as: C, C++, Embedded, Linux, Software more »
Senior ML Researcher - upto-£200,000 plus upto 30% bonus – London, United Kingdom (hybrid) A successful and growing advanced sports analytics and trading start-up is looking for a Senior ML Researcher to join its expanding strategy and trading team. Company The core platform infrastructure handles thousands of trading signals … minimal latency. The problems and constraints faced are similar to high frequency trading shops, however in the sports betting world. Role Overview As a MachineLearning Researcher, you will: Work closely with the CEO, CTO, and Team Lead to design, test, and implement new machinelearning … for novel problems and understand trade-offs Hands-on experience in taking ideas from concept to production environments Proficiency in Python and experience with ML software frameworks Passion for learning new skills and techniques, comfortable with academic research Desired Skills Relevant qualifications in Computer Science, Maths, Statistics, or Machinemore »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
Title: Head of ML Type: Permanent Salary: Up to £120k base salary + benefits package Location: London (Hybrid) We're working with a rapidly growing SaaS company leveraging cutting-edge ML and AI. Join us and lead an innovative team building game-changing products! You will: Build and Lead a … High-Performing Data Science Team: Recruit, develop, and mentor a team of machinelearning engineers to deliver cutting-edge ML solutions. Foster a culture of innovation, collaboration, and continuous learning. Drive Data-Driven Innovation: Define the data science strategy, identify opportunities for AI/ML to drive business … growth, and translate complex technical concepts into actionable business insights. Develop and Scale ML Capabilities: Oversee the development and deployment of robust ML pipelines, including fraud detection and risk assessment models. Establish MLOps Excellence: Architect and implement efficient MLOps pipelines to streamline model development, deployment, and monitoring, ensuring model performance more »
European Services leader helping them build out their AI strategy and team. As a consequence we are looking for an ambitious driven passionate Senior MachineLearning Engineer to join their growing team. You will play a lead role designing, developing and deploying AI solutions on a product basis … and version control tools and workflows (e.g. Git, Feature branch) Experience of MLOps and associated tools such as Azure DevOps/Github, MLFlow, Azure ML Experience working with large datasets/big data architectures; particularly Pyspark/Databricks. Experience deploying container technologies (e.g. Docker, Kubernetes) Experience playing a lead role … and outlook and enjoy working as part of a team to share knowledge and ideas. Desirable Experience of Data & AI with Azure, particularly Azure ML Experience working with and deploying LLMs Experience with deploying cloud resources using infrastructure-as-code, particularly Azure/Bicep more »
be the perfect fit for you. Our client is a dynamic, ethically-driven startup that specialises in Data Science-as-a-Service. They leverage machinelearning to help not-for-profits run more successful fundraising campaigns. Their focus on machinelearning is core to their business … automate QA tasks. Analyze data and generate reports to support business objectives and client success. Assist clients during the onboarding process, including QA of machinelearning models, predictions, and tools. Conduct ad-hoc analysis and investigations into data, systems, and models to resolve customer queries. Maintain and improve more »
which drives, source, enrich, and store data, own the entire data pipeline starting with designing the interfaces and APIs for the next level of machinelearning and AI, design systems that solve the most critical problems and answer the most challenging questions in finance. Lead a team of … and interface (API, schema design, events) Partner with the industry’s top investment professionals, quantitative researchers, and data scientists to design, develop, and deploy machinelearning solutions about financial markets Build tools and automation capabilities for data pipelines that improve the efficiency, quality, and resiliency of the data more »
that scale with large 3D datasets Take the lead on actively identifying data, pipeline, and/or operational bottlenecks and implement bold and realistic ML/software solutions Contribute to hiring, coaching and managing AI/Vision team members Attend key conferences and stay on top of the latest research … Good communication skills How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: MachineLearning, Data Science, Data Scientist, Consultancy more »
that scale with large 3D datasets Take the lead on actively identifying data, pipeline, and/or operational bottlenecks and implement bold and realistic ML/software solutions Contribute to hiring, coaching and managing AI/Vision team members Attend key conferences and stay on top of the latest research more »
London, England, United Kingdom Hybrid / WFH Options
Barclays
of transaction monitoring systems, such as automated software tools (e.g., Actimize, Fircosoft). Drive the adoption of new technologies like artificial intelligence (AI) and machinelearning to improve the accuracy and efficiency of monitoring processes. Analyze trends and patterns in transactional data to detect emerging risks and suspicious more »
based compression technology. We are seeking Software Engineer with: Coding experience with C++ (min 2 years) and understanding of low level programming Exposure to ML or AI ecosystems Experience with Python, ideally using Pytorch would be beneficial but not essential Software Engineer Salary: Up to £80,000 plus lucrative stock more »
Do you have experience setting up and optimizing training pipelines? Do you have experience in end2end development of AI models (Computer Vision, LLMs, Reinforcement Learning)? Are you excited by the thoughts of competing with Microsoft, Jeff Bezos and OpenAI? The challenge We’re a very young start up, founded … by the end of the year We’ve developing AI robots to do day-to-day human tasks and looking for an experienced MachineLearning Ops Engineer to develop our MLOPs platform, improve model performance … and optimise models for deployment on edge devices. About you You’ll have experience designing data pipelines, GPU optimization and Inference scaling, setting up ML infrastructure and deploying AI models. Here are some of things we’d expect you to have: Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet more »
AI function within the business then this opportunity if for you !!! Below are some of the requirements: Be creative, ambitious, and obsessed with LLMs & Machine Learning. Be detail-oriented yet grounded in the big picture. Be someone that can work autonomously and is motivate by adding real value into more »
approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … product design as it rapidly evolves? How does a data platform support operational objectives and provide analytical insight to business users, whilst also supporting ML and Generative AI supported workloads at scale? How can we quickly deliver the robust legacy system interfaces needed by our Agile development teams? Which organisational … being hands-on when you need to be You balance innovation and intellectual rigour with realism You love technology and want to keep on learning, with a genuine interest in understanding the challenges your users face and how you can help them Some of the Perks Flexible benefits allowance more »
unique challenges, and will action this appropriately. . This will involve working with varied data sources, and designing and implementing various data science and machinelearning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and … e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience developing machinelearning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to £75,000 depending on experience Discretionary bonus more »
unique challenges, and will action this appropriately. . This will involve working with varied data sources, and designing and implementing various data science and machinelearning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and … e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience developing machinelearning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to £75,000 depending on experience Discretionary bonus more »
Daily rate: £490 inside IR35 Duration: 12 months + possible extension Location : Hybrid; 2day/w in London office Knowledge: Proven experience as a machinelearning engineer, data scientist, or a similar role. A comprehensive grasp of machinelearning methodologies and principles, encompassing supervised and unsupervised … learning, deep learning, and reinforcement learning. Experience deploying computer vision models is particularly desirable. Experience with data manipulation, pre-processing, and feature engineering techniques. Experience building MachineLearning solutions for scalable, reliable deployments Experience developing testing regimes for machinelearning systems, including unit, integration … Data modelling, and software architecture Experience designing and implementing cloud solutions and ability to build MLOps Pipelines on Azure Cloud. Skills: Experience as a ML Ops Engineer is essential Experience of developing and implementing ways of working. Experience in Developing and enforcing best practices for machinelearning life more »
to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … contributed to internal upskilling and knowledge sharing. Seniors are expected to be aware of commercial value of solution/project, being able link output (ML predictions or process automation) to financial impact and contribute to project case studies Responsibilities As a Senior Data Scientist, you will: Become a trusted consultant … technical debt, system design, stability, and business needs. Bring impactful, high-quality technical contributions within the team. Aid wider solutioning and opportunity discovery by learning (high level) Ascent capabilities and technologies, e.g. MSFT Fabric, Databricks, Terraform, React/Blazor frameworks, Service blueprint. Adapt technical scope to align with changing more »
an experienced and motivated DevOps Engineer to join our growing team, helping to maintain and enhance our infrastructure in support of data-driven and machinelearning solutions within the retail automation industry. As a key player in our DevOps/MLOps efforts, you will optimize and manage cloud … with experience using CI/CD tools (e.g., GitHub Actions) to automate software pipelines. Familiarity with machinelearning concepts and experience managing ML models in production environments (e.g., BentoML, Valohai) is a plus. Excellent problem-solving skills, attention to detail, and strong communication abilities. Right to work in … scheme. This is a unique opportunity for a DevOps Engineer passionate about infrastructure and innovation, contributing to the growth of cutting-edge AI/ML technology in a rapidly expanding field. more »
to be the first MLOps Engineer in a 14-person data team, working closely with the Data Science Manager to shape the future of ML operations. Location: Hybrid Working in London (x3 a week in the office) Salary: £65K - £95K per annum depending on level of experience, plus 20% discretionary … deployment. Create efficient, scalable processes to train, deploy, and monitor models in a production environment. Key Responsibilities: Architect efficient processes to operationalize and maintain ML models. Design, implement, and optimize scalable ML pipelines, covering everything from model training to deployment and monitoring. Build robust data infrastructure to support simulations and … production usage. Set up systems to monitor model performance in production environments. Automate the ML lifecycle, focusing on scalability and efficiency. Collaborate with data scientists and team members to integrate the latest advancements in machinelearning into production. Required Skills: Proven experience in building and maintaining operational MLmore »
a commitment to staying at the forefront of innovation, they’re now looking for top talent to continue driving their success. As a Lead MachineLearning Engineer, you'll take the lead in developing cutting-edge analytics that help unlock valuable insights in the world of communications. Your … an agile, fast-paced environment. What you'll need: Expertise in JVM languages (Java/Kotlin), Scala, Groovy Background in Natural Language Processing (NLP), ML-Ops, and data pipeline development Proficient with machinelearning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn Deep knowledge of machine … Google Cloud Hands-on experience with Amazon SageMaker and Jupyter Notebooks Knowledge of model serving technologies, including Triton Inference Server Experience developing AI/ML-driven analytics products in Fintech/Regtech Expertise in microservices and event-driven architecture Knowledge of building scalable ML applications and services in cloud environments more »
human behaviour. Role: Your day-to-day responsibilities will be as follows: Deploying Data Science projects straight onto the market. You will be building MachineLearning algorithms and models to create new data products and services using Python. You will be coding and testing new algorithms for prototype … the project. You will develop and deploy advanced AI models to forecast human decision-making. You will enhance the functionality and performance of our ML engine, models, and systems. You will utilize machinelearning methods to interpret and analyze data, ensuring continuous adaptation and evolution of our models. … taking a lead role in managing customer relationships and delivering products. You will work in partnership with the technical team, including data scientists and ML engineers, to integrate the requirements of defence clients into the overall product. Your Skills and Experience: Educated to a MSc or PhD level in Stem more »
teams, including data scientists, engineers, and stakeholders, to ensure AI strategies align with business goals. Stay up to date with emerging trends in AI, machinelearning, and open-source tools to drive continuous improvement and innovation. Act as a key advisor in defining and maintaining AI best practices … and frameworks. Contribute to the strategic direction of AI and machinelearning initiatives. Essential Skills and Experience: Strong proficiency in Python and a track record of building AI solutions. Hands-on experience with Azure cloud services, particularly in deploying machinelearning models. Expertise with LLMs (Large more »