MachineLearning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a MachineLearning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge MachineLearning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯
MachineLearning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a MachineLearning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge MachineLearning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯
Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The MachineLearning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machinelearning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machinelearning and AI solutions and provide feedback for optimal implementation. Develop and More ❯
Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The MachineLearning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machinelearning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machinelearning and AI solutions and provide feedback for optimal implementation. Develop and More ❯
You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our MachineLearning Engineers are responsible for the engineering aspects of our customer delivery projects. As a MachineLearning Engineer, you'll be essential to … us achieve that goal by: Building software and infrastructure that leverages MachineLearning; Creating reusable, scalable tools to enable better delivery of ML systems; Working with our customers to help understand their needs; Working with data scientists and engineers to develop best practices and new technologies; Implementing and More ❯
data structures/algorithms. 3 years of experience with machinelearning algorithms and tools. 2 years of experience in building production quality ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or … TensorFlow). Experience with launching applied MachineLearning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle … the list goes on and is growing every day. As a Software Engineer, you will shape the future of applied MachineLearning (ML) at Google and push the boundaries of what's possible with Generative Artificial Intelligence technologies. You will be building the platform to integrate GenAI-based More ❯
Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machinelearning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large … for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machinelearning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale … machine-learning solutions that delight customers with personalized content recommendations, at the right time, with the right level of explanation. As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent More ❯
apply machinelearning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machinelearning solutions into production … share findings clearly with the team. No jargon-just straightforward, actionable insights. Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical … experience). 2-3 years of experience in machinelearning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and More ❯
Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machinelearning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large … for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machinelearning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale … machine-learning solutions that delight customers with personalized content recommendations, at the right time, with the right level of explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new More ❯
Hook, Hampshire, United Kingdom Hybrid / WFH Options
360 Resourcing Solutions
be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machinelearning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. … a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress … skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products More ❯
Senior Delivery Consultant - GenAI/ML, AWS Job ID: AWS EMEA SARL (Italy Branch) Are you interested in working at the forefront of MachineLearning and AI? Do you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machinelearning (ML … AWS customers implement Generative AI solutions and realize transformational business opportunities across key industry verticals. Our team consists of data architects, data scientists, and ML engineers working closely with customers to build solutions that leverage the power of generative AI. Key job responsibilities As an experienced technology professional, you will … be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs. Providing technical guidance and support throughout project delivery, focusing on AWS AI/ML services. Collaborating with customer stakeholders to gather requirements and propose effective model training More ❯
best for Creators, Consumers and Spotify. Location: London Job type: Permanent This is an outstanding opportunity to contribute to the development and application of ML within our content and catalogue management platform. You'll be at the forefront of driving impactful solutions, while collaborating within a dynamic and supportive team … environment. What You'll Do: Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage MachineLearning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be More ❯
make and store a decision best for Creators, Consumers and Spotify. This is an outstanding opportunity to contribute to the development and application of ML within our content and catalogue management platform. You'll be at the forefront of driving impactful solutions, while collaborating within a dynamic and supportive team … environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage MachineLearning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be More ❯
MachineLearning Researcher - LLM/VLM Are you a PhD-educated MachineLearning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a MachineLearning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … MachineLearning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯
Cambridge, Cambridgeshire, Staines, Surrey, United Kingdom
Redline Group Ltd
MachineLearning Researcher - LLM/VLM Are you a PhD-educated MachineLearning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a MachineLearning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … MachineLearning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯
MachineLearning Researcher - LLM/VLM Are you a PhD-educated MachineLearning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a MachineLearning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … MachineLearning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯
Location : London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machinelearning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with … advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As … a valued member of our team, you will work closely with our expert quantum machinelearning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry More ❯
Location : London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machinelearning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with … advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As … a valued member of our team, you will work closely with our expert quantum machinelearning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry More ❯
Engineering, Mathematics, Statistics, or a related field. Strong foundational knowledge in machinelearning and artificial intelligence. First-author publications in top-tier ML/AI conferences or journals (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR, or similar). Hands-on … alignment) Model compression techniques (e.g., quantization, pruning, knowledge distillation) Proven success in: Software development using Python and/or C/C++ Working with ML frameworks such as PyTorch and/or TensorFlow Writing clear and thorough documentation Using standard software engineering tools and practices (e.g., Git) Strong communication and … with multi-task learning and deception detection Demonstrated ability to build sophisticated training and inference pipelines Knowledge of embedded and/or distributed ML tools and methodologies Experience in optimizing and profiling AI pipelines for performance Contributions to open-source machinelearning libraries If this sounds interesting More ❯
Are you a data-driven problem solver with expertise in machinelearning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machinelearning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machinelearning applications into production. Contributing to our machinelearning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯
Are you a data-driven problem solver with expertise in machinelearning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machinelearning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machinelearning applications into production. Contributing to our machinelearning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯
Are you a data-driven problem solver with expertise in machinelearning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machinelearning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machinelearning applications into production. Contributing to our machinelearning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯
Are you a data-driven problem solver with expertise in machinelearning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machinelearning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machinelearning applications into production. Contributing to our machinelearning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
About the MachineLearning Engineer for CDAO Europe CDAO Europe is looking for a machinelearning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess … analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Vanguard's machinelearning models and algorithms. This person will play a critical role in designing and developing machinelearning algorithms and AI applications and systems for Vanguard … solve complex problems with multilayered data sets, and optimize existing machinelearning libraries and frameworks. They will collaborate with data scientists, data analysts, data engineers, and data architects on production systems and applications, and identify differences in data distribution that could potentially affect model performance in real-world More ❯
Senior MachineLearning Engineer (London) - £85,000 Our Consulting client is looking for a Senior MachineLearning Engineer to join and be part of their continued expansion across the UK. As the Senior MachineLearning Engineer, you innovate, build, train and communicate with a … scale datasets and database systems (SQL and NoSQL). Understanding of software development life cycle and agile methodologies. Proven experience designing, developing, and deploying machinelearning models. Experience with orchestration frameworks (eg Airflow, MLFlow, etc) Experience deploying machinelearning models to production environments. Knowledge of MLOps More ❯