NLP/LLM Scientist - Applied AI ML Lead - MachineLearning Centre of Excellence The MachineLearning Center of Excellence invites the successful candidate to apply sophisticated machinelearning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel … in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machinelearning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with … techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes More ❯
MachineLearning Engineer page is loaded MachineLearning Engineer Apply locations London, UK time type Full time posted on Posted 30+ Days Ago job requisition id R2550 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with … a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machinelearning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machinelearning ecosystem Who are we looking for? Candidates will be comfortable working both independently … science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above Excellent ML reasoning and communication skills are crucial: off-the-shelf methods don't always More ❯
AI or Artificial Intelligence, Software Development Job Id Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, MachineLearning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the … crowd, is our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative MachineLearning expert to join our Audio AI team. As a Speech/Audio MachineLearning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machinelearning techniques to enhance audio processing … to contribute to the development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machinelearning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machinelearning models for various applications. Evaluate and benchmark the performance More ❯
to join our client's remote team in the United Kingdom. As a key member of our client's Data Science and MachineLearning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machinelearning models and algorithms to solve complex business problems. This is an exciting … environment. Responsibilities: Collaborate with cross-functional teams to understand business requirements and design scalable machinelearning solutions. Develop and deploy machinelearning models using Databricks ML and other relevant technologies. Conduct thorough analysis of large-scale datasets to extract meaningful insights and drive decision-making. Optimize and fine-tune machinelearning models for performance … field. Proven experience as a MachineLearning Engineer or Data Scientist, with a focus on building and deploying machinelearning models. Strong proficiency in Databricks ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of machinelearning algorithms, statistical modeling, and data preprocessing techniques. Experience working with big data More ❯
Cheltenham, Gloucestershire, England, United Kingdom
Searchability NS&D
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: MachineLearning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and … engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machinelearning, and data science. What Will You Be Doing? Applying advanced data … science and machinelearning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
MachineLearning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/MachineLearning Engineer to join their data science function to drive cutting-edge ML technology across the business. MachineLearning Engineer, key skills: Significant experience working as a Data Scientist/MachineLearning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machinelearning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of MachineLearning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯
mid level Full Stack Data Scientist roles available. These roles are responsible for leading the use of data to make decisions. This includes: the development and execution of new machinelearning predictive modeling algorithms, the coding/development of tools that use machinelearning/predictive modeling to make business decisions, searching for and integrating new … data (both internal and external) that improves our modeling and machinelearning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machinelearning/predictive modeling. Key Responsibilities Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas … of data, research and models and develops data sources that can solve business problems. Utilizes effective project planning techniques to break down complex machinelearning/predictive modelling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modelling projects with small number of team members. Uses best More ❯
is responsible for developing and implementing Group-wide strategic programs across HSBC aimed at accelerating the commercialisation and delivery of Artificial Intelligence/MachineLearning (AI/ML) across HSBC. Key areas of focus include responsible development practices, common platforms and capabilities, AI technology enablement, governance, and the Group-wide AI Strategy. In this fantastic new strategic role … you will join a growing team to lead the MachineLearning Centre of Excellence (ML-COE). This is a critical role for HSBC that will deliver against some of the most complex MachineLearning and Artificial Intelligence Use Cases to deliver Value within our Group Businesses and Functions (GB/GFs). You will drive … GB/GFs and form deep and trusted relationships with AI developers across the organization. In this role, duties will include: • Use Case Management: Prioritising and managing AI/ML use cases to ensure alignment with business objectives and maximise value delivery. • Delivery Oversight: Leading the execution of AI/ML projects, ensuring timely and quality delivery. • Team Development: Driving More ❯
Applied Scientist II, India MachineLearning Do you want to join an innovative team of scientists who use machinelearning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day … various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India MachineLearning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's … direct impact on consumers and end users. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯
Sunbury-On-Thames, London, United Kingdom Hybrid / WFH Options
BP Energy
This role is ideal for someone who thrives at the intersection of software engineering and applied machinelearning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machinelearning solutions across a … strong emphasis is placed on applying machinelearning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for … tasks such as classification, regression, recommendation, and natural language processing. Optimise model performance and ensure scalability and reliability in production environments. Contribute to the design of ML system architecture and data infrastructure. Apply machinelearning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation. Mentor junior engineers and data More ❯
Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯
Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯
programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machinelearning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative … opportunities. Partner with developers and engineers to deploy machinelearning algorithms to deliver business value. Define approaches to embed and scale machinelearning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machinelearning methods. Communicate and provide guidance to senior client … functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machinelearning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big More ❯
and maintaining machinelearning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based MachineLearning Development * Collaborate with domain experts and analysts to design and … implement machinelearning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks. * Deploy and manage ML solutions using Azure MachineLearning (Azure ML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps … Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines More ❯
Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machinelearning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machinelearning and statistical approaches. -Mentor junior scientists … at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machinelearning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical … image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machinelearning - Experience with More ❯
Positions: MachineLearning Engineer & MachineLearning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (MachineLearning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯
Positions: MachineLearning Engineer & MachineLearning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (MachineLearning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯
Positions: MachineLearning Engineer & MachineLearning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (MachineLearning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯
Positions: MachineLearning Engineer & MachineLearning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (MachineLearning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯
london (city of london), south east england, united kingdom
Cubiq Recruitment
Positions: MachineLearning Engineer & MachineLearning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (MachineLearning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯
is in the Quant Solution Group within the firm and involves; Conducting research and analysis on different types of structured, semi-structured and unstructured data using advanced modelling and machinelearning and AI techniques. Turning the insights generated from the data into investment signals to improve the currency risk management strategies and analytics. Developing and automating AI, machinelearning and investment workflow pipelines in the AWS cloud. Staying up to date with the latest developments in AI, machinelearning research and developments. Requirements: A recent graduate in a quantitative field from a reputable … university, ideally computer science studies or a subject involving substantial quantitative and programming components. Proficiency with Python programming is essential, alongside expertise in applications of machinelearning (ML), deep learning (DL), or natural language processing (NLP). Required Skills: Education: BSc/Msc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer More ❯
challenges. MachineLearning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently. As a Senior Lead ML Scientist, you'll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising … world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. You'll provide key technical leadership and ship highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. … You'll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team. MachineLearning Scientists at Monzo work end to end, so you'll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Monzo
challenges. MachineLearning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently. As a Senior Lead ML Scientist, you'll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising … world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. You'll provide key technical leadership and ship highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. … You'll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team. MachineLearning Scientists at Monzo work end to end, so you'll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time More ❯
challenges. MachineLearning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently. As a Senior Lead ML Scientist, you'll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising … world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. You'll provide key technical leadership and ship highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. … You'll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team. MachineLearning Scientists at Monzo work end to end, so you'll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time More ❯
Senior MachineLearning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior MachineLearning Engineer, you’ll be … at the forefront of innovation, developing and implementing machinelearning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machinelearning models to enhance the analytics platform. Collaborate with cross-functional teams to define and … implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machinelearning and crypto technologies. Requirements: Proven experience as a MachineLearning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency More ❯