deployment. Solid understanding of SDLC and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do more »
MLOps Engineer (London – visit the office x3 days a week) Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps … decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform. Some experience of deploying recommendation engines/recommender systems more »
ll be working closely with Data Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 more »
close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis a strong plus Experience with production front office trading more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
to develop advanced ML models and algorithms that power our data-driven solutions. To further strengthen our ML capabilities and streamline our ML operations (MLOps), we are seeking a skilled and motivated Platform Engineer to join our data science team. Role Overview As a Platform Engineer at Allianz Commercial, you … data scientists and data engineers to provision infrastructure and operationalize ML models and ensure their scalability, reliability, and performance. Your expertise in DevOps/MLOps and experience with the Azure cloud environment will be essential in designing and implementing end-to-end ML solutions. You will collaborate with cross-functional … production. This role requires strong technical skills, a solid understanding of Azure Cloud services and deployment/configuration processes, and experience with DevOps/MLOps best practices. Responsibilities Collaborate with data scientists and data engineers to understand ML requirements, and design and develop ML pipelines for data pre-processing, model more »
application. These include ingesting and understanding new data sources, evolving our data approach (e.g., to a fully fledged data fabric), implementing containers to streamline MLOps and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation … desirable Utilising AI within data engineering to drive performance. Knowledge of implementing, managing and utilising graph databases (e.g., using technologies such as Neo4j). MLOps experience including familiarity with Docker and Kubernetes. Full data engineering cycle knowledge (tools and skills) for stream data. Benefits Competitive salary and rewards package including more »
Prometheus Graphana Cloud provided (preferably GCP but AWS and Azure are also considered) CI/CD with Jenkins or Octopus Nice to have Datadog MLOPS Salary Up to £100K basic + £112.500K RSUs + 7.5% bonus Submit your details for more information about this opportunity. RedCat Digital is acting as more »
visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery more »
visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery more »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Realtime Recruitment
Realtime are extremely proud to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning more »
Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client … accelerating the delivery of critical medicines to those in need. Thanks to growth, they're seeking a senior Python Software Engineer with expertise in MLOps and ideally desktop app development to join their Engineering team. This role involves developing a cutting-edge desktop application and its associated Python backend. The … maintaining flexibility and robustness across different environments. Key Technologies Needed for the Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies more »
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 »
BS1, Bristol, City of Bristol, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
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 »
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 »
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 »
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 »
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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 »
