Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What you'll be doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're excited if you have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. To learn more about Roku, visit
03/02/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What you'll be doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're excited if you have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. To learn more about Roku, visit
£55,000 - 65,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - National Security (London, Hybrid) Salary: Up to £65,000 per year + £7,000 DV clearance bonus (tax free, subject to eligibility) Working Model: Hybrid - 3 days on client site once clearance is granted, 1 day in central office, remainder remote A leading UK national security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative, and impactful environment where you will apply cutting edge machine learning methods to unique datasets. Key responsibilities: Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into production ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling. Implement robust versioning, experiment tracking, and reproducibility practices. Mentor junior engineers and contribute to team wide AI knowledge sharing. Communicate complex technical concepts to both technical and non technical stakeholders. Ideal candidate: BSc, MSc, or PhD in a quantitative discipline (e.g., Maths, Physics, Computer Science). 4 5 years' experience in ML/AI engineering or data science roles (senior level). Hands on experience with Python ML frameworks (scikit learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. Experience developing LLM/GenAI solutions and familiarity with LLMOps tools. Strong problem solving, communication, and project delivery skills. Eligible for UK DV security clearance; candidates without clearance must be able to undergo the process. Why this role is unique: Work on national security projects with niche datasets unavailable elsewhere. Influence AI adoption from the ground floor for high profile government clients. Join a collaborative team of over 4,000 digital, cyber, and intelligence specialists across multiple locations. Hybrid working flexibility, generous benefits, career development support, and a culture valuing diversity and inclusion. For further information, feel free to reach me at , or simply apply! Company: Anson McCade Tagged as: Classification, Industry, Machine Learning, NLP, United Kingdom
03/02/2026
Full time
£55,000 - 65,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - National Security (London, Hybrid) Salary: Up to £65,000 per year + £7,000 DV clearance bonus (tax free, subject to eligibility) Working Model: Hybrid - 3 days on client site once clearance is granted, 1 day in central office, remainder remote A leading UK national security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative, and impactful environment where you will apply cutting edge machine learning methods to unique datasets. Key responsibilities: Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into production ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling. Implement robust versioning, experiment tracking, and reproducibility practices. Mentor junior engineers and contribute to team wide AI knowledge sharing. Communicate complex technical concepts to both technical and non technical stakeholders. Ideal candidate: BSc, MSc, or PhD in a quantitative discipline (e.g., Maths, Physics, Computer Science). 4 5 years' experience in ML/AI engineering or data science roles (senior level). Hands on experience with Python ML frameworks (scikit learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. Experience developing LLM/GenAI solutions and familiarity with LLMOps tools. Strong problem solving, communication, and project delivery skills. Eligible for UK DV security clearance; candidates without clearance must be able to undergo the process. Why this role is unique: Work on national security projects with niche datasets unavailable elsewhere. Influence AI adoption from the ground floor for high profile government clients. Join a collaborative team of over 4,000 digital, cyber, and intelligence specialists across multiple locations. Hybrid working flexibility, generous benefits, career development support, and a culture valuing diversity and inclusion. For further information, feel free to reach me at , or simply apply! Company: Anson McCade Tagged as: Classification, Industry, Machine Learning, NLP, United Kingdom
Arm's Machine Learning (ML) Group is seeking a highly motivated and creative Senior Software Engineer to join a team of brilliant engineers located in Cambridge, UK who specialise in ML compilers. This role presents an opportunity to contribute to advance ML compilation technology. You will help to build the software that enables development of deep learning applications that form the basis of many ground breaking technologies like self driving cars, generative AI engines and ML-powered wearables. Arm Machine Learning (ML) team is looking for a software engineer who would build a range of innovative compiler solutions for a variety of markets. You will apply your experience and insight within this domain to craft and optimise compilers for machine learning networks that target Arm's CPUs, GPUs and NPUs. If you are interested in this opportunity, make sure to apply soon! We look forward to receiving your application and welcoming you to Arm. You could be joining our highly motivated team and have a marked impact on both strategy and implementation! Responsibilities Contribute to deliver production grade software and push the boundaries of Machine Learning compilation Build, extend and collaborate on innovative ML compilation software projects, such as TOSA and the broader MLIR ecosystem Work with other groups in Arm to expand support for Arm architecture and ecosystem Required skills and experience A passion for software development and quality. Experience with the full software development lifecycle - planning, designing, developing, testing, delivering, and maintaining production quality software Experience with C++, understanding of Python is a plus Experience with or interest in compilers such as LLVM and the MLIR ecosystem High degree of initiative and problem solving skills Ability to own team's delivery and lead others on large or more sophisticated tasks Good interpersonal and communication skills Nice to have skills and experience Knowledge or curiosity about large language models (LLMs), machine learning, their applications and frameworks Experience with contributing to open source projects and working with a broader open source community Experience with Python packaging, Linux and scripting languages, such as shell scripting In Return On top of the already compelling Life at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality. Experience Level Senior (5+ years of experience) Equal Opportunities Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
03/02/2026
Full time
Arm's Machine Learning (ML) Group is seeking a highly motivated and creative Senior Software Engineer to join a team of brilliant engineers located in Cambridge, UK who specialise in ML compilers. This role presents an opportunity to contribute to advance ML compilation technology. You will help to build the software that enables development of deep learning applications that form the basis of many ground breaking technologies like self driving cars, generative AI engines and ML-powered wearables. Arm Machine Learning (ML) team is looking for a software engineer who would build a range of innovative compiler solutions for a variety of markets. You will apply your experience and insight within this domain to craft and optimise compilers for machine learning networks that target Arm's CPUs, GPUs and NPUs. If you are interested in this opportunity, make sure to apply soon! We look forward to receiving your application and welcoming you to Arm. You could be joining our highly motivated team and have a marked impact on both strategy and implementation! Responsibilities Contribute to deliver production grade software and push the boundaries of Machine Learning compilation Build, extend and collaborate on innovative ML compilation software projects, such as TOSA and the broader MLIR ecosystem Work with other groups in Arm to expand support for Arm architecture and ecosystem Required skills and experience A passion for software development and quality. Experience with the full software development lifecycle - planning, designing, developing, testing, delivering, and maintaining production quality software Experience with C++, understanding of Python is a plus Experience with or interest in compilers such as LLVM and the MLIR ecosystem High degree of initiative and problem solving skills Ability to own team's delivery and lead others on large or more sophisticated tasks Good interpersonal and communication skills Nice to have skills and experience Knowledge or curiosity about large language models (LLMs), machine learning, their applications and frameworks Experience with contributing to open source projects and working with a broader open source community Experience with Python packaging, Linux and scripting languages, such as shell scripting In Return On top of the already compelling Life at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality. Experience Level Senior (5+ years of experience) Equal Opportunities Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. Required skills include NLP, LLMs, deep learning, and experience with transformer architectures. Ideal for candidates looking for a 6-month Outside IR35 contract with a competitive rate up to £500 per day. Company Involved Solutions Experience Level Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
03/02/2026
Full time
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. Required skills include NLP, LLMs, deep learning, and experience with transformer architectures. Ideal for candidates looking for a 6-month Outside IR35 contract with a competitive rate up to £500 per day. Company Involved Solutions Experience Level Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
A leading health informatics organization in Boston is seeking a Machine Learning Engineer to develop and deploy pipelines using real-world clinical data. Candidates should possess a Bachelor's degree in a STEM field and have 2-3 years of relevant experience. Proficiency in Python and SQL is essential. This role involves leading projects, training staff, and developing predictive models, offering the chance to work on healthcare innovation in a hybrid environment.
03/02/2026
Full time
A leading health informatics organization in Boston is seeking a Machine Learning Engineer to develop and deploy pipelines using real-world clinical data. Candidates should possess a Bachelor's degree in a STEM field and have 2-3 years of relevant experience. Proficiency in Python and SQL is essential. This role involves leading projects, training staff, and developing predictive models, offering the chance to work on healthcare innovation in a hybrid environment.
A leading AI research firm in the UK seeks a hands-on Senior Staff Engineer to lead the development of cutting-edge machine learning systems. This role requires expertise in model training, team leadership, and deep learning architectures. Candidates must possess strong collaboration skills and ideally a degree in computer science or engineering. The position offers remote work opportunities and requires significant overlap with Pacific time, targeting candidates ready to engage in innovative AI projects over a two-month contract period.
03/02/2026
Full time
A leading AI research firm in the UK seeks a hands-on Senior Staff Engineer to lead the development of cutting-edge machine learning systems. This role requires expertise in model training, team leadership, and deep learning architectures. Candidates must possess strong collaboration skills and ideally a degree in computer science or engineering. The position offers remote work opportunities and requires significant overlap with Pacific time, targeting candidates ready to engage in innovative AI projects over a two-month contract period.
A global technology leader in the United Kingdom is seeking an AI/ML Engineer to develop and deploy advanced AI models, collaborate with diverse teams, and enhance products through innovative machine learning solutions. Ideal candidates will have a solid educational background in computer science and hands-on experience with AI frameworks. This position offers competitive compensation and career growth opportunities.
03/02/2026
Full time
A global technology leader in the United Kingdom is seeking an AI/ML Engineer to develop and deploy advanced AI models, collaborate with diverse teams, and enhance products through innovative machine learning solutions. Ideal candidates will have a solid educational background in computer science and hands-on experience with AI frameworks. This position offers competitive compensation and career growth opportunities.
What You'll Do Conduct cutting-edge research to tackle real-world AI challenges. Develop high-quality code and documentation to ensure reproducible and impactful research. Review state-of-the-art research papers and create prototype solutions that redefine what's possible. Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community. Who You Are A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands on experience in one or more of these areas: Generative AI, Parameter efficient Fine tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. First author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem solving skills. Why Join Us Be part of a team that's at the forefront of AI research, developing solutions that impact millions of users worldwide. Work in a dynamic and innovative environment where your ideas can shape the future of technology. Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote. Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve. Company: microTECH Global Limited Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)
03/02/2026
Full time
What You'll Do Conduct cutting-edge research to tackle real-world AI challenges. Develop high-quality code and documentation to ensure reproducible and impactful research. Review state-of-the-art research papers and create prototype solutions that redefine what's possible. Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community. Who You Are A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands on experience in one or more of these areas: Generative AI, Parameter efficient Fine tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. First author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem solving skills. Why Join Us Be part of a team that's at the forefront of AI research, developing solutions that impact millions of users worldwide. Work in a dynamic and innovative environment where your ideas can shape the future of technology. Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote. Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve. Company: microTECH Global Limited Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)
About Turing: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is seeking a hands on Machine Learning Senior Staff Engineer to lead cross functional teams building and deploying cutting edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development - from research and large scale model training to production deployment - while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large scale training pipelines, building collaborative notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities Lead and mentor a cross functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics. Provide technical direction on large scale model training, fine tuning, and distributed systems design. Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML. Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards. Communicate progress, risks, and results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed. Hands on experience in Docker for production deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross functional collaboration skills. Bachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred). Nice to Have Experience building agentic applications. Experience training or fine tuning foundation models. Contributions to open source ML or LLM frameworks. Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing Work in a fully remote environment. Opportunity to work on cutting edge AI projects with leading LLM companies. Offer Details Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 2 months; (expected start date is next week). Timezone: US PST (6 hours overlap required 12pm PST to 6pm PST). Evaluation Process (approximately 120 minutes) Two rounds of interviews (60 minutes technical + 60 minutes technical & cultural discussion). After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network.
03/02/2026
Full time
About Turing: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is seeking a hands on Machine Learning Senior Staff Engineer to lead cross functional teams building and deploying cutting edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development - from research and large scale model training to production deployment - while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large scale training pipelines, building collaborative notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities Lead and mentor a cross functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics. Provide technical direction on large scale model training, fine tuning, and distributed systems design. Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML. Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards. Communicate progress, risks, and results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed. Hands on experience in Docker for production deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross functional collaboration skills. Bachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred). Nice to Have Experience building agentic applications. Experience training or fine tuning foundation models. Contributions to open source ML or LLM frameworks. Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing Work in a fully remote environment. Opportunity to work on cutting edge AI projects with leading LLM companies. Offer Details Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 2 months; (expected start date is next week). Timezone: US PST (6 hours overlap required 12pm PST to 6pm PST). Evaluation Process (approximately 120 minutes) Two rounds of interviews (60 minutes technical + 60 minutes technical & cultural discussion). After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network.
Overview Job Posting Description The Computational Health Informatics Program () at Boston Children's Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team. In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments. Status Full-Time Regular, Temporary, Per Diem Regular Standard Hours per Week 40 Pay Range $78540.80-$125652.80 Annual Office/Site Location Boston Job Posting Category Information Technology Remote Eligibility Part Remote/Hybrid Responsibilities Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation. Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling. Query and manage health datasets using SQL on AWS cloud. Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Design, develop, and evaluate predictive models and advanced algorithms that maximize value extracted from the data. Generate and test hypotheses and analyze the results of experiments. With minimal supervision and direction, complete assignments in the required timeframe; adhere to standard operating procedures and best practices; maintain and upgrade biomedical informatics tools, methods, and technologies; migrate data, document changes, and adjust internal processes; resolve problems and seek supervisor assistance when needed. Routinely lead, co-lead, or participate in biomedical informatics projects with BCH researchers and external collaborators; set goals and objectives, coordinate work with stakeholders, and contribute to resulting presentations and/or publications. Train staff and researchers; tailor presentations; develop, implement, and maintain knowledge management systems. Create or contribute to communications (e.g., PowerPoint presentations, emails, memos, scientific presentations, and publications) that clearly deliver content; prepare communications for management and internal distributions. Present at project meetings; convey progress, discuss issues, and provide facts; build credibility by asking thoughtful questions and listening; run productive meetings that advance problem-solving. Minimum Qualifications Education: Bachelor's degree in a STEM field; PhD, MD, MPH or MS preferred Experience: 2-3 years in a professional work environment outside of academia Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation Strong foundation in statistics and applied quantitative methods Familiarity with Fast Healthcare Interoperability Resources (FHIR) is a plus and can be learned on the job Excellent communication, teamwork, and problem-solving skills Excellent problem-solving ability, collaborative spirit, and scientific curiosity Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience)
03/02/2026
Full time
Overview Job Posting Description The Computational Health Informatics Program () at Boston Children's Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team. In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments. Status Full-Time Regular, Temporary, Per Diem Regular Standard Hours per Week 40 Pay Range $78540.80-$125652.80 Annual Office/Site Location Boston Job Posting Category Information Technology Remote Eligibility Part Remote/Hybrid Responsibilities Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation. Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling. Query and manage health datasets using SQL on AWS cloud. Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Design, develop, and evaluate predictive models and advanced algorithms that maximize value extracted from the data. Generate and test hypotheses and analyze the results of experiments. With minimal supervision and direction, complete assignments in the required timeframe; adhere to standard operating procedures and best practices; maintain and upgrade biomedical informatics tools, methods, and technologies; migrate data, document changes, and adjust internal processes; resolve problems and seek supervisor assistance when needed. Routinely lead, co-lead, or participate in biomedical informatics projects with BCH researchers and external collaborators; set goals and objectives, coordinate work with stakeholders, and contribute to resulting presentations and/or publications. Train staff and researchers; tailor presentations; develop, implement, and maintain knowledge management systems. Create or contribute to communications (e.g., PowerPoint presentations, emails, memos, scientific presentations, and publications) that clearly deliver content; prepare communications for management and internal distributions. Present at project meetings; convey progress, discuss issues, and provide facts; build credibility by asking thoughtful questions and listening; run productive meetings that advance problem-solving. Minimum Qualifications Education: Bachelor's degree in a STEM field; PhD, MD, MPH or MS preferred Experience: 2-3 years in a professional work environment outside of academia Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation Strong foundation in statistics and applied quantitative methods Familiarity with Fast Healthcare Interoperability Resources (FHIR) is a plus and can be learned on the job Excellent communication, teamwork, and problem-solving skills Excellent problem-solving ability, collaborative spirit, and scientific curiosity Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience)
A technology company located in the UK is seeking a Senior Machine Learning Software Engineer in Applied Physics to drive innovation in engineering design. You will develop surrogate models, enhancing simulation efficiency by significant factors. Candidates should have a MS/PhD in a relevant field and substantial experience with deep learning frameworks and physics simulations. The position offers a competitive salary range of €70,000-€80,000 annually, along with options for growth.
03/02/2026
Full time
A technology company located in the UK is seeking a Senior Machine Learning Software Engineer in Applied Physics to drive innovation in engineering design. You will develop surrogate models, enhancing simulation efficiency by significant factors. Candidates should have a MS/PhD in a relevant field and substantial experience with deep learning frameworks and physics simulations. The position offers a competitive salary range of €70,000-€80,000 annually, along with options for growth.
A leading technology company in Cambridge is looking for a Senior Software Engineer to contribute to its Machine Learning Group. This role focuses on building innovative software solutions for ML compilation and requires over 5 years of experience in software development, particularly with C++. The successful candidate will collaborate on projects that support Arm's architecture, pushing the boundaries of ML technology. The company emphasizes a strong team culture and inclusive environment.
03/02/2026
Full time
A leading technology company in Cambridge is looking for a Senior Software Engineer to contribute to its Machine Learning Group. This role focuses on building innovative software solutions for ML compilation and requires over 5 years of experience in software development, particularly with C++. The successful candidate will collaborate on projects that support Arm's architecture, pushing the boundaries of ML technology. The company emphasizes a strong team culture and inclusive environment.
A leading AI research firm in the UK is seeking a Senior Researcher with a PhD in ML/AI to tackle real-world AI challenges. You will conduct cutting-edge research, develop high-quality code, and publish findings in prestigious conferences. Candidates must have hands-on experience in areas like generative AI and programming expertise in Python, Java, or C++. The role offers a hybrid work environment, allowing flexibility with 3 days onsite and 2 days remote.
03/02/2026
Full time
A leading AI research firm in the UK is seeking a Senior Researcher with a PhD in ML/AI to tackle real-world AI challenges. You will conduct cutting-edge research, develop high-quality code, and publish findings in prestigious conferences. Candidates must have hands-on experience in areas like generative AI and programming expertise in Python, Java, or C++. The role offers a hybrid work environment, allowing flexibility with 3 days onsite and 2 days remote.
A cutting-edge AI company is seeking a Machine Learning Specialist with expertise in computer vision. You will collaborate with clients to improve their machine vision models, implement robust solutions, and conduct thorough performance evaluations. The ideal candidate has a strong background in developing advanced algorithms, Python proficiency, and experience with libraries like TensorFlow and PyTorch. This role offers competitive compensation and a flexible work environment balanced between in-office and remote opportunities.
03/02/2026
Full time
A cutting-edge AI company is seeking a Machine Learning Specialist with expertise in computer vision. You will collaborate with clients to improve their machine vision models, implement robust solutions, and conduct thorough performance evaluations. The ideal candidate has a strong background in developing advanced algorithms, Python proficiency, and experience with libraries like TensorFlow and PyTorch. This role offers competitive compensation and a flexible work environment balanced between in-office and remote opportunities.
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. Required skills include NLP, LLMs, deep learning, and experience with transformer architectures. Ideal for candidates looking for a 6-month Outside IR35 contract with a competitive rate up to £500 per day. Company Involved Solutions Experience Level Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
03/02/2026
Full time
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. Required skills include NLP, LLMs, deep learning, and experience with transformer architectures. Ideal for candidates looking for a 6-month Outside IR35 contract with a competitive rate up to £500 per day. Company Involved Solutions Experience Level Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the Role We are seeking a talented and motivated AI/ML Engineer to support the development of advanced AI and machine learning solutions. In this role, you will design, develop, and deploy AI/ML models that enhance our products and technologies. Experience in AI/ML development, a strong foundation in data-driven modeling, and a passion for applying advanced analytics to real-world problems. You will collaborate closely with engineers, data scientists, and product managers to develop innovative solutions that provide measurable impact. Why Keysight Contribute to cutting-edge AI/ML solutions in a global technology leader. Collaborate with teams across multiple disciplines and geographies. Work in a high-impact, innovative environment solving challenging problems. Competitive compensation, benefits, and career growth opportunities. Responsibilities Design, develop, and deploy AI/ML models to support R&D and product initiatives. Collaborate with cross-functional teams to translate business and technical requirements into actionable AI solutions. Analyze large datasets to extract insights and optimize model performance. Implement scalable and maintainable AI/ML pipelines and frameworks. Conduct experiments, validate models, and iterate based on results. Stay up-to-date with the latest AI/ML research and techniques relevant to your work. Communicate technical findings clearly to both technical and non-technical stakeholders. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field. Relevant professional experience in AI/ML development. Strong programming skills in Python, C++, or similar languages. Hands on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit learn, etc.). Experience in data preprocessing, feature engineering, model training, and evaluation. Excellent problem solving, analytical, and communication skills. Nice to have Experience applying AI/ML to complex engineering or technical problems. Knowledge of cloud based ML platforms or distributed training environments. Experience with AI/ML model deployment and productionization. Company Keysight Technologies, Inc. Careers Privacy Statement Keysight is an Equal Opportunity Employer. Tagged as: Industry, Machine Learning, NLP, United Kingdom
03/02/2026
Full time
Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the Role We are seeking a talented and motivated AI/ML Engineer to support the development of advanced AI and machine learning solutions. In this role, you will design, develop, and deploy AI/ML models that enhance our products and technologies. Experience in AI/ML development, a strong foundation in data-driven modeling, and a passion for applying advanced analytics to real-world problems. You will collaborate closely with engineers, data scientists, and product managers to develop innovative solutions that provide measurable impact. Why Keysight Contribute to cutting-edge AI/ML solutions in a global technology leader. Collaborate with teams across multiple disciplines and geographies. Work in a high-impact, innovative environment solving challenging problems. Competitive compensation, benefits, and career growth opportunities. Responsibilities Design, develop, and deploy AI/ML models to support R&D and product initiatives. Collaborate with cross-functional teams to translate business and technical requirements into actionable AI solutions. Analyze large datasets to extract insights and optimize model performance. Implement scalable and maintainable AI/ML pipelines and frameworks. Conduct experiments, validate models, and iterate based on results. Stay up-to-date with the latest AI/ML research and techniques relevant to your work. Communicate technical findings clearly to both technical and non-technical stakeholders. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field. Relevant professional experience in AI/ML development. Strong programming skills in Python, C++, or similar languages. Hands on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit learn, etc.). Experience in data preprocessing, feature engineering, model training, and evaluation. Excellent problem solving, analytical, and communication skills. Nice to have Experience applying AI/ML to complex engineering or technical problems. Knowledge of cloud based ML platforms or distributed training environments. Experience with AI/ML model deployment and productionization. Company Keysight Technologies, Inc. Careers Privacy Statement Keysight is an Equal Opportunity Employer. Tagged as: Industry, Machine Learning, NLP, United Kingdom
A leading UK technology organisation is seeking a Senior Machine Learning Engineer to contribute to national security projects. This role involves designing, developing, and deploying cutting-edge ML models and LLM/GenAI solutions. Candidates should have at least 4-5 years of senior-level experience and hands-on proficiency in Python ML frameworks and AWS ML services. This hybrid role offers the opportunity to influence AI adoption and work with unique datasets, fostering career development and collaboration within a diverse team.
03/02/2026
Full time
A leading UK technology organisation is seeking a Senior Machine Learning Engineer to contribute to national security projects. This role involves designing, developing, and deploying cutting-edge ML models and LLM/GenAI solutions. Candidates should have at least 4-5 years of senior-level experience and hands-on proficiency in Python ML frameworks and AWS ML services. This hybrid role offers the opportunity to influence AI adoption and work with unique datasets, fostering career development and collaboration within a diverse team.
Join our dynamic team at nTop, where we're revolutionizing the engineering landscape with our innovative technology. We're seeking a Senior Machine Learning Software Engineer in Applied Physics to contribute to cutting edge projects that greatly enhance the efficiency of engineering design and simulations. In this role, you'll tackle complex challenges and work collaboratively within a team that prioritizes learning and growth. Your contributions will help us accelerate physics simulations by times, drastically improving real time engineering design and optimization processes. What You'll Do Develop and deploy surrogate models to replace intensive physics simulations, achieving impressive speedups of x. Integrate current machine learning solutions seamlessly into the nTop technology ecosystem. Prepare and curate training datasets by annotating simulation outputs and extracting relevant physics features from multiple fidelity sources. Conduct rigorous validation of models against high fidelity simulations and experimental data, including uncertainty quantification. Document model architectures, assumptions, and limitations clearly for both technical and non technical stakeholders. Required Experience MS/PhD in Physics, Applied Mathematics, Mechanical/Aerospace Engineering, or a related computational area. 3+ years of experience developing surrogate or reduced order models for physical systems. Significant expertise in deep learning frameworks (such as PyTorch or TensorFlow) applied to scientific problems. Strong foundational knowledge in numerical methods, PDEs, and computational physics like FEM or CFD. Proficient in the Python scientific computing stack: NumPy, SciPy, Pandas, and scikit learn. Experience with uncertainty quantification and Bayesian techniques in machine learning models. Demonstrated capability in handling large scale simulation data within high performance computing environments. Hands on experience with at least one physics simulation software package (ANSYS, COMSOL, OpenFOAM, etc.). Preferred Experience Familiarity with neural operators (such as DeepONet and Fourier Neural Operators) for PDE solving. Experience with NVIDIA's ecosystem for physics AI (including Physics Nemo, Omniverse, SimNet). Knowledge of NVIDIA Domino for machine learning model management and deployment. Experience in setting up and deploying inference services. Proficiency in containerization technologies, especially Docker. A background in aerospace and energy systems is a plus. GPU programming experience (using CUDA or OpenCL). Understanding of digital twin architectures and requirements for real time simulation. Compensation €70.000 €80.000 annually plus options. Company nTop Senior (5+ years of experience) Tags Industry Machine Learning NLP United Kingdom
03/02/2026
Full time
Join our dynamic team at nTop, where we're revolutionizing the engineering landscape with our innovative technology. We're seeking a Senior Machine Learning Software Engineer in Applied Physics to contribute to cutting edge projects that greatly enhance the efficiency of engineering design and simulations. In this role, you'll tackle complex challenges and work collaboratively within a team that prioritizes learning and growth. Your contributions will help us accelerate physics simulations by times, drastically improving real time engineering design and optimization processes. What You'll Do Develop and deploy surrogate models to replace intensive physics simulations, achieving impressive speedups of x. Integrate current machine learning solutions seamlessly into the nTop technology ecosystem. Prepare and curate training datasets by annotating simulation outputs and extracting relevant physics features from multiple fidelity sources. Conduct rigorous validation of models against high fidelity simulations and experimental data, including uncertainty quantification. Document model architectures, assumptions, and limitations clearly for both technical and non technical stakeholders. Required Experience MS/PhD in Physics, Applied Mathematics, Mechanical/Aerospace Engineering, or a related computational area. 3+ years of experience developing surrogate or reduced order models for physical systems. Significant expertise in deep learning frameworks (such as PyTorch or TensorFlow) applied to scientific problems. Strong foundational knowledge in numerical methods, PDEs, and computational physics like FEM or CFD. Proficient in the Python scientific computing stack: NumPy, SciPy, Pandas, and scikit learn. Experience with uncertainty quantification and Bayesian techniques in machine learning models. Demonstrated capability in handling large scale simulation data within high performance computing environments. Hands on experience with at least one physics simulation software package (ANSYS, COMSOL, OpenFOAM, etc.). Preferred Experience Familiarity with neural operators (such as DeepONet and Fourier Neural Operators) for PDE solving. Experience with NVIDIA's ecosystem for physics AI (including Physics Nemo, Omniverse, SimNet). Knowledge of NVIDIA Domino for machine learning model management and deployment. Experience in setting up and deploying inference services. Proficiency in containerization technologies, especially Docker. A background in aerospace and energy systems is a plus. GPU programming experience (using CUDA or OpenCL). Understanding of digital twin architectures and requirements for real time simulation. Compensation €70.000 €80.000 annually plus options. Company nTop Senior (5+ years of experience) Tags Industry Machine Learning NLP United Kingdom
A leading streaming platform company in the U.K. is looking for a Senior Applied Machine Learning Engineer to design, build, and deploy intelligent media systems. The candidate will work at the intersection of machine learning and software engineering, handling the full model lifecycle. This role requires strong expertise in machine learning, computer vision, and cloud engineering, and offers competitive benefits and a collaborative work environment.
02/02/2026
Full time
A leading streaming platform company in the U.K. is looking for a Senior Applied Machine Learning Engineer to design, build, and deploy intelligent media systems. The candidate will work at the intersection of machine learning and software engineering, handling the full model lifecycle. This role requires strong expertise in machine learning, computer vision, and cloud engineering, and offers competitive benefits and a collaborative work environment.
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. The ideal candidate has at least 5 years of experience with NLP, LLMs, deep learning, and transformer architectures. This position is available as a 6-month Outside IR35 contract with a competitive rate up to £500 per day.
02/02/2026
Full time
A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to focus on Natural Language Processing and develop Large Language Models. This remote role offers the opportunity to design and train models and contribute to developing an AI-powered chatbot. The ideal candidate has at least 5 years of experience with NLP, LLMs, deep learning, and transformer architectures. This position is available as a 6-month Outside IR35 contract with a competitive rate up to £500 per day.