512 Mlops Engineer jobs in the United Kingdom
MLOps Engineer
London, London
Harnham
Posted today
Job Viewed
Job Description
MLOps Engineer London £60,000-£70,000 About the Role: Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models. Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines. Optimize ML models and workflows for real-time inference within 3D environments and XR platforms. Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models. Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads. Develop monitoring solutions to track model performance and system health in production. Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
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0
MLOps Engineer
London, London
Harnham
Posted 2 days ago
Job Viewed
Job Description
MLOps Engineer
London
£60,000-£70,000
About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.
Key Responsibilities:
- Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
- Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
- Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
- Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
- Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
- Develop monitoring solutions to track model performance and system health in production.
- Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.
Qualifications:
- Proven experience as an MLOps engineer or similar role with a focus on 3D applications
- Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
- Expertise in 3D reconstruction and rendering
- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
- Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment
Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
This advertiser has chosen not to accept applicants from your region.
1
MLOps Engineer
N1 9AL
Rec3 Global Ltd
Posted 1 day ago
Job Viewed
Job Description
MLOps Engineer
Award Winning Bank
£85K - 100K base + 11% bonus (10% Pension, Private medical & dental, 30 days Annual leave + 8 days public holidays)
Hybrid (2 days a week) - London, Reading, Manchester or Cardiff
We are excited to partner with an award-winning bank that is rewriting the rules of modern banking.
Our client is combining human expertise with smart digital solutions to deliver straightfo.
WHJS1_UKTJ
This advertiser has chosen not to accept applicants from your region.
2
Senior MLOps Engineer
EC1 London, London
Data Idols
Posted 15 days ago
Job Viewed
Job Description
Senior MLOps Engineer
Location: London hybrid
Salary: 80K - 90K
The Opportunity
Skills and Experience
Senior MLOps Engineer
Location: London hybrid
Salary: 80K - 90K
Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business.
The Opportunity
As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to production. You'll collaborate closely with data scientists, ensuring that models are deployed efficiently, monitored effectively, and continuously improved.
This is a hands-on role where you'll influence the tools, frameworks, and culture that define how ML is delivered. You'll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale.
Skills and Experience
- Solid track record of building and deploying machine learning solutions in production environments
- Strong experience working with Python
- Proficiency in Azure
- Experience designing and maintaining CI/CD pipelines for ML workflows
- Familiarity with monitoring, testing, and automation in ML systems
Senior MLOps Engineer
This advertiser has chosen not to accept applicants from your region.
3
Senior MLOps Engineer
London, London
£80000 - £90000 Annually
Data Idols
Posted 15 days ago
Job Viewed
Job Description
Senior MLOps Engineer
Location: London hybrid
Salary: 80K - 90K
The Opportunity
Skills and Experience
Senior MLOps Engineer
Location: London hybrid
Salary: 80K - 90K
Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business.
The Opportunity
As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to production. You'll collaborate closely with data scientists, ensuring that models are deployed efficiently, monitored effectively, and continuously improved.
This is a hands-on role where you'll influence the tools, frameworks, and culture that define how ML is delivered. You'll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale.
Skills and Experience
- Solid track record of building and deploying machine learning solutions in production environments
- Strong experience working with Python
- Proficiency in Azure
- Experience designing and maintaining CI/CD pipelines for ML workflows
- Familiarity with monitoring, testing, and automation in ML systems
Senior MLOps Engineer
This advertiser has chosen not to accept applicants from your region.
4
Senior MLOps Engineer
London, London
Data Science Festival
Posted today
Job Viewed
Job Description
Senior MLOps Engineer
Location: London hybrid
Salary: £80K – £90K
Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. You’ll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business.nThe Opportunity
As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to production. You’ll collaborate closely with data scientists, ensuring that models are deployed efficiently, monitored effectively, and continuously improved.nThis is a hands-on role where you’ll influence the tools, frameworks, and culture that define how ML is delivered. You’ll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale.nSkills and Experience
Solid track record of building and deploying machine learning solutions in production environmentsnStrong experience working with PythonnProficiency in AzurenExperience designing and maintaining CI/CD pipelines for ML workflowsnFamiliarity with monitoring, testing, and automation in ML systemsnSenior MLOps Engineern#J-18808-Ljbffrn
Location: London hybrid
Salary: £80K – £90K
Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. You’ll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business.nThe Opportunity
As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to production. You’ll collaborate closely with data scientists, ensuring that models are deployed efficiently, monitored effectively, and continuously improved.nThis is a hands-on role where you’ll influence the tools, frameworks, and culture that define how ML is delivered. You’ll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale.nSkills and Experience
Solid track record of building and deploying machine learning solutions in production environmentsnStrong experience working with PythonnProficiency in AzurenExperience designing and maintaining CI/CD pipelines for ML workflowsnFamiliarity with monitoring, testing, and automation in ML systemsnSenior MLOps Engineern#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
5
Senior Mlops Engineer
London, London
MARKS&SPENCER
Posted today
Job Viewed
Job Description
What's in it for you
Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special.
After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWhat you'll do
Design and implement robust ML pipelines and infrastructure.nWork closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.nEmbed automation, testing, and monitoring into ML workflows to ensure reliability.nAct as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.nLead initiatives to improve MLOps maturity within M&S.nWho you are
Experienced in building and deploying machine learning solutions at scale.nProficient in Python, Spark, and cloud technologies, preferably Azure.nExperienced building CI/CD pipelines for ML workflows.nStrong problem-solver who can work effectively across cross functional teams.nPassionate about improving engineering practices.nEveryone's welcome
We are ambitious about the future of retail. We're redefining, innovating and leading the industry into a more diligent, inspiring digital era. We're reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
#LI-Hybrid #LI-HB1n#J-18808-Ljbffrn
Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special.
After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWhat you'll do
Design and implement robust ML pipelines and infrastructure.nWork closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.nEmbed automation, testing, and monitoring into ML workflows to ensure reliability.nAct as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.nLead initiatives to improve MLOps maturity within M&S.nWho you are
Experienced in building and deploying machine learning solutions at scale.nProficient in Python, Spark, and cloud technologies, preferably Azure.nExperienced building CI/CD pipelines for ML workflows.nStrong problem-solver who can work effectively across cross functional teams.nPassionate about improving engineering practices.nEveryone's welcome
We are ambitious about the future of retail. We're redefining, innovating and leading the industry into a more diligent, inspiring digital era. We're reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
#LI-Hybrid #LI-HB1n#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
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6
Senior MLOps Engineer
London, London
M&S
Posted today
Job Viewed
Job Description
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.nJob DescriptionnWhat's in it for younBeing a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.nHere are some of the benefits we offer that make working for M&S just that little bit more special.nAfter completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWhat you'll donDesign and implement robust ML pipelines and infrastructure.nWork closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.nEmbed automation, testing, and monitoring into ML workflows to ensure reliability.nAct as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.nLead initiatives to improve MLOps maturity within M&S.nWho you arenExperienced in building and deploying machine learning solutions at scale.nProficient in Python, Spark, and cloud technologies, preferably Azure.nExperienced building CI/CD pipelines for ML workflows.nStrong problem-solver who can work effectively across cross functional teams.nPassionate about improving engineering practices.nEveryone's welcomenWe are ambitious about the future of retail. We're redefining, innovating and leading the industry into a more diligent, inspiring digital era. We're reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.nWe are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.nIf you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.n#LI-Hybrid #LI-HB1
#J-18808-Ljbffrn
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
7
Senior MLOps Engineer
London, London
Marks and Spencer
Posted today
Job Viewed
Job Description
SummarynSummary
We are seeking a passionate a passionate Senior MLOps Engineer to join our team and work along data scientists to deliver Data Science solutions. This role will help discover and implement state-of-the-art solutions for our ML projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products. This role will be part of a collaborative team that is integral to establishing the environments and processes to quickly build and deploy ML solutions into production.
You will play a key role in driving our ambition to create a best-in-class MLOps engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.
All the detailsnWhat's in it for younBeing a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.nHere are some of the benefits we offer that make working for M&S just that little bit more specialnAfter completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWhat you'll donDesign and implement robust ML pipelines and infrastructure.nWork closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.nEmbed automation, testing, and monitoring into ML workflows to ensure reliability.nAct as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.nLead initiatives to improve MLOps maturity within M&S.nWho you arenExperienced in building and deploying machine learning solutions at scale.nProficient in Python, Spark, and cloud technologies, preferably Azure.nExperienced building CI/CD pipelines for ML workflows.nStrong problem-solver who can work effectively across cross functional teams.nPassionate about improving engineering practices.nEveryone's welcomenWe are ambitious about the future of retail. We're redefining, innovating and leading the industry into a more diligent, inspiring digital era. We're reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.nWe are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.nIf you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.n#LI-Hybrid #LI-HB1
#J-18808-Ljbffrn
We are seeking a passionate a passionate Senior MLOps Engineer to join our team and work along data scientists to deliver Data Science solutions. This role will help discover and implement state-of-the-art solutions for our ML projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products. This role will be part of a collaborative team that is integral to establishing the environments and processes to quickly build and deploy ML solutions into production.
You will play a key role in driving our ambition to create a best-in-class MLOps engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.
All the detailsnWhat's in it for younBeing a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.nHere are some of the benefits we offer that make working for M&S just that little bit more specialnAfter completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWhat you'll donDesign and implement robust ML pipelines and infrastructure.nWork closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.nEmbed automation, testing, and monitoring into ML workflows to ensure reliability.nAct as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.nLead initiatives to improve MLOps maturity within M&S.nWho you arenExperienced in building and deploying machine learning solutions at scale.nProficient in Python, Spark, and cloud technologies, preferably Azure.nExperienced building CI/CD pipelines for ML workflows.nStrong problem-solver who can work effectively across cross functional teams.nPassionate about improving engineering practices.nEveryone's welcomenWe are ambitious about the future of retail. We're redefining, innovating and leading the industry into a more diligent, inspiring digital era. We're reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.nWe are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.nIf you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.n#LI-Hybrid #LI-HB1
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
8
Senior MLOps Engineer
London, London
La Fosse
Posted today
Job Viewed
Job Description
Data Science, AI & Machine Learning Consultant at La Fosse
Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)
London - 1 day a week
A chance to work closely with professional sport!
I am currently working with a global leader within SportsTech, who are expanding their AI offerings and are looking to hire Senior MLOps Engineers.
Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. If you're looking for a company that prioritises innovation, autonomy while working on some of the most exciting challenges in sports tech today then this is a great opportunity for you!
About the RolenYou'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential.
In this role, you will:
Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches.
Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans.
Collaborate cross-functionally: Work closely with engineering, product, and leadership teams to deliver best-in-class solutions.
Technical requirements:
Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS.
MLOps.
Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams.
Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale.
Nice to Have:
Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights.
Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.).
If you're interested in this role and feel you fit some of the requirements, then apply through the AD to find out more.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology and Engineering
Industries
Data Infrastructure and Analytics, Technology, Information and Media, and Sports Teams and Clubs
Referrals increase your chances of interviewing at La Fosse by 2x
#J-18808-Ljbffrn
Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)
London - 1 day a week
A chance to work closely with professional sport!
I am currently working with a global leader within SportsTech, who are expanding their AI offerings and are looking to hire Senior MLOps Engineers.
Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. If you're looking for a company that prioritises innovation, autonomy while working on some of the most exciting challenges in sports tech today then this is a great opportunity for you!
About the RolenYou'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential.
In this role, you will:
Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches.
Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans.
Collaborate cross-functionally: Work closely with engineering, product, and leadership teams to deliver best-in-class solutions.
Technical requirements:
Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS.
MLOps.
Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams.
Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale.
Nice to Have:
Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights.
Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.).
If you're interested in this role and feel you fit some of the requirements, then apply through the AD to find out more.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology and Engineering
Industries
Data Infrastructure and Analytics, Technology, Information and Media, and Sports Teams and Clubs
Referrals increase your chances of interviewing at La Fosse by 2x
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
9