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 … and Reinforcement Learning. For more information about the MLCOE, please visit this link . 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 More ❯
greater manchester, north west england, United Kingdom
ECOM
ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior MachineLearning Engineer. You will join an innovative technology company at the forefront of machinelearning and artificial intelligence solutions. As a Senior MachineLearning Engineer … be part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior MachineLearning Engineer to lead the development and implementation of advanced machinelearning models and algorithms. As a key member of our … team, you will work on challenging projects, leveraging your expertise in machinelearning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machinelearning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data More ❯
ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior MachineLearning Engineer. You will join an innovative technology company at the forefront of machinelearning and artificial intelligence solutions. As a Senior MachineLearning Engineer … be part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior MachineLearning Engineer to lead the development and implementation of advanced machinelearning models and algorithms. As a key member of our … team, you will work on challenging projects, leveraging your expertise in machinelearning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machinelearning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data More ❯
Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machinelearning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machinelearning (ML) workloads. As part of the More ❯
Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machinelearning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machinelearning (ML) workloads. As part of the More ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machinelearning background to help build industry-leading Speech and Language technology. Key Job Responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected … human and invalid traffic within programmatic ad sources, and weed them out to ensure a high-quality advertising marketplace. We do this by building machinelearning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … reviewed publications and whitepapers. Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production. Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry-leading traffic quality solution. Learn More ❯
speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced MachineLearning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯
We are seeking an experienced MLOps Engineer to bridge the gap between machinelearning models and production environments. As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machinelearning infrastructure in AWS. You will work closely with data scientists, DevOps teams … as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machinelearning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data … standards. Background in machinelearning libraries such as TensorFlow, PyTorch, or XGBoost for model development and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If you are a skilled MLOps Engineer with a passion for automating machineMore ❯
back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a Staff MachineLearning Engineer who's eager to push the state of the art in the aerospace industry. This position is responsible for designing, building … and testing machinelearning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on … Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and More ❯
to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, MachineLearning Scientists, MachineLearning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or MachineLearning/Data Science. More ❯
MachineLearning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, MachineLearning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) MachineLearning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machinelearning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The MachineLearning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial MachineLearning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯
MachineLearning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, MachineLearning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) MachineLearning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machinelearning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The MachineLearning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial MachineLearning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯
creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal MachineLearning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machinelearning, with opportunities to lead … and deploying large-scale machinelearning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machinelearning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯
creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal MachineLearning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machinelearning, with opportunities to lead … and deploying large-scale machinelearning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machinelearning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯
creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal MachineLearning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machinelearning, with opportunities to lead … and deploying large-scale machinelearning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machinelearning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯
MachineLearning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, MachineLearning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) MachineLearning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machinelearning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The MachineLearning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial MachineLearning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯
over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we're still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … organisation to ensure that machinelearning models are scalable, reliable, and seamlessly integrated into business processes. This role is critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES Manages the technical aspects of machinelearning operations, ensuring workflow robustness, scalability … and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machinelearning models in production. Automates machinelearning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. More ❯
innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machinelearning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. Are you passionate about … What you ll do: Establish the roadmap and own the OKRs for machinelearning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business … and prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machinelearning scientists in a complex environment Who you are: You have More ❯
Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machinelearning applications within the company, and improving pre-existing models. Role & Core Responsibilities … learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machinelearning … Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology More ❯
impact of machinelearning and AI throughout Trainline. We are looking for a MachineLearning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MachineLearning … that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and More ❯