76 to 100 of 100 Permanent MLOps Jobs

rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure the success and impact of ML and LLM initiatives, ensuring alignment with business objectives … science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven more »

SENIOR MLOPS ENGINEER HYBRID (LONDON) £80,000-£90,000 COMPANY: Our client is a leading digital healthcare company delivering a range of services directly to people's homes through innovative AI technology. With a rapidly growing teams, they are dedicated to improving healthcare access and outcomes for millions of individuals. more »

Senior MLOps Engineer Contract 4-6 months Fully Remote Start Mid March - 1st April latest We have a need to hire a Senior MLOps Engineer on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine … Working closely with data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with more »

data architectures which deliver value and provide end-to-end data solutions. Create scalable data processing pipelines and platforms, and productionise machine learning models (MLOps). Mentoring, Educating & Growing: Advise, educate and help grow customers and colleagues alike on various data related topics. Guide, teach and provide space for OCers more »

Drive AI innovation and scalability at a leading investment firm. Lead the development and optimisation of cutting-edge MLOps platforms using AWS. Collaborate with a dynamic team to drive AI innovation and excellence for an industry-first. Flexible working environment, great compensation, excellent benefits and growth opportunities. Join an exciting … models. Work with advanced technologies in a collaborative environment and contribute to significant AI-driven solutions. What you’ll be doing As a Senior MLOps Engineer, you will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments. … Your responsibilities will include: Developing and optimising the MLOps platform to streamline the ML lifecycle. Implementing and managing CI/CD pipelines for efficient development, testing and deployment processes. Collaborating with data scientists and engineers to drive innovation and excellence in AI solutions. Ensuring scalability, reliability, and performance of machine more »

MLOPS ENGINEER REMOTE £70,000 - £90,000 COMPANY: A cutting-edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics more »

We are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying models on multiple GPUs, scaling, load balancing, and managing data … for model training, preferably using Kubeflow. Establish continuous integration and delivery pipelines using Docker, Kubernetes, or AWS counterparts (e.g., ECR). Visualise fine-grained MLOps data using industry standard tools and platforms Ensure system security through triaging, log analysis, and infrastructure debugging. Implement Infrastructure as Code using tools like Terraform … or CloudFormation. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience. Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems. Proficiency in Kubeflow, Docker, Kubernetes, and AWS services. Experience with LangChain, prompt engineering, and fine-tuning LLMs more »

Fin-Tech Scale-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a 2024 graduate passionate about Data Engineering and working with MLOps? Are you looking for a fantastic environment to start your career in? Here’s your chance to be a part of a fast-growing and … their Data team and work with developing new data pipelines, helping to deploy new features to their stack, and help build and run their MLOps! What you would ideally have 🖥️: Degree from top Russell Group universities in a related field (i.e. Maths, Physics, Computer Science, etc.) Experience using Python and more »

Data Scientist - Marketing Effectiveness Paying up to £60k + 10% bonus Hybrid in Central London - 2 days a week. Global business One of La Fosse's best clients who are an industry leader within the entertainment/ticketing industry are more »

W Talent are currently working with a company within the Financial Services space who are growing rapidly and looking for a Senior Data Scientist. This is a great opportunity for somebody who has a few years experience within data science more »

small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5+ years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5+ years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

and you'll need to be on-site in London a couple of times a week. To be successful you'll need a strong MLOps skillset and sit more on the ML infrastructure and deployment side than the ML theory/science. You need to be able to hold your … AWS) Docker/Kubernetes Excellent communication skills and commercial acumen Extensive experience delivering end-to-end ML/AI solutions including production and deployment MLOps Active security clearance (SC/DV) Please only apply if you hold security clearance and you're based in or close to London. Reach out more »

office. Responsibilities include participation in software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring … improvement. * Ensure software compatibility across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience … Knowledge of macOS is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with more »

become an integral part of a growing company at the forefront of of cutting edge technology. Key Responsibilities: You'll be developing out their MLOps system all greenfield projects. Lead the development and deployment of end-to-end Ops pipelines supporting the entire ML lifecycle. Drive initiatives for CI/… work effectively to multiple internal teams including the data science and engineering teams. Grow team to 5 within 12 months Experience Required: Experience building MLOps systems from scratch Open to industry Package: Up to £105,000 Hybrid working – office based in London Industry leading benefits How to Apply: If you more »

Location: London, Manchester, Glasgow (hybrid working arrangements, typically 2 days per week in the office). Employment type: Permanent. Salary: up to £100,000 dependent on experience, plus bonus and other benefits. An overview of the role: We're seeking more »

Job Title : ML Ops Software Developer – Elite Tech Firm (£160,000 + Hybrid) Client : Elite Tech Firm Salary : £160,000 + performance-based bonuses Location : London/Hybrid Roles and Responsibilities : We are working with an Elite Tech Firm who more »

Do you want do "actual" AI - Solving interactive physics? 🤖 You will build a super intelligent AI Platform for breakthrough engineering, empowering engineers to solve previously intractable problems by leveraging cutting-edge technology and innovative methodologies. They are on a mission more »

Machine Learning Manager Belfast £130,000 + Bonus This client revolutionises the way companies manage and interpret their communications - they spot business critical signals that their clients can use for real innovation and growth. Their Belfast office employs some of more »

Data Engineering Manager £90,000 – £100,000 + Bonus + Car Allowance Hertfordshire – Hybrid – 2 day per week We are representing a market-leading UK Financial Services business who are looking for a Data Engineering Manager to join their organisation. more »

W Talent are currently partnered with a fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data more »

About Us: MetrixLab is a fast-growing global market research and insights company that’s challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges more »

ll collaborate with data scientists, enhance the skillset of our existing team, and build robust infrastructure around the models. If you’re passionate about MLOps, data quality, and driving innovation, this role is for you! Responsibilities Include: Taking Models into Production: Collaborate with data scientists to deploy machine learning models … into production environments. Implement MLOps practices to ensure its effectiveness and reliability to monitor model performance in real time. Skillset Enhancement: Elevate the skillset of our existing team by sharing best practices, conducting workshops, and fostering a culture of continuous learning. Infrastructure as Code (IaC) with Azure ML and Terraform more »

If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with more »

Enterprise Data Architect Location: Central London (Hybrid - 2/3 days a week in the office) Contract Length: 12 months Rate: £650-£750 per day (Inside IR35) The client is seeking an experienced Enterprise Data Architect to join their team more »