Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯
Job Description DevOps Architect with AWS - Leeds Serve as an AWS specialist, consult and provide technical guidance on AWS design, governance, performance, scalability, security, operations and cost control best practices to ensure we maximize our AWS investment Work with our More ❯
Job Description DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You More ❯
Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge More ❯
level work. Required Skills and Attributes: 7 years or more of coding experience, with at least 3 years primarily focused on Python. Knowledge of MLOps principles and practices, especially in implementing them within production settings. Worked on cloud infrastructure (AWS, Azure, GCP) Worked on data-intensive products which are heavy More ❯
Founded 5 years ago and already 100 people strong with offices in both London and NY, our client has built a robust and explosive MLops business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have More ❯
Founded 5 years ago and already 100 people strong with offices in both London and NY, our client has built a robust and explosive MLops business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have More ❯
SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and … deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from More ❯
SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its … customers. They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate More ❯
SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its … customers. They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate More ❯
SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its … customers. They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate More ❯
an exciting opportunity to push the boundaries of AI in real-world applications, working with state-of-the-art Computer Vision, Deep Learning, and MLOps technologies. We're a growing deep tech start-up with plenty of room for progression and making the role your own. Occasionally, and in line … work outside your job description. Our tech stack Languages: Python (PyTorch, NumPy, OpenCV) ML Frameworks: PyTorch, TensorFlow, OpenCV Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow MLOps Tools: DVC, Weights & Biases, TensorRT Version Control & CI/CD: GitHub, GitLab, Jenkins Key Responsibilities Develop & optimise high-performance Computer Vision and deep learning algorithms … debugging, and validation/testing to ensure high-quality, maintainable code. Stay ahead of industry trends in AI/ML, deep learning architectures, and MLOps best practices. About You 4+ years of hands-on experience developing Computer Vision and Deep Learning models in production environments. desirable Previous experience working with More ❯
· Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation More ❯
Senior Data Scientist Fashion retailer London (2-3x days a week in office) £85,000 + Bonus + Benefits THE ROLE: Harnham is working with a leading fashion retailer in the UK who are looking to add a Senior More ❯
· Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation More ❯
· Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation More ❯
Senior Data Scientist Fashion retailer London (2-3x days a week in office) £85,000 + Bonus + Benefits THE ROLE: Harnham is working with a leading fashion retailer in the UK who are looking to add a Senior More ❯
The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges More ❯
We're seeking a talented and motivated Lead Data Platform Administrator to join our Data Platform and Engineering team. Our aim is to deliver a robust platform that enables Machine Learning and analytics to drive indemnity savings, efficiency benefits and More ❯
We are seeking an experienced MLOps Engineer to bridge the gap between machine learning models and production environments. As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams, and software engineers to … and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If you are a skilled MLOps Engineer with a passion for automating machine learning pipelines, deploying models at scale, and optimizing cloud-based infrastructures, we'd love to hear from you More ❯
deployment and monitoring. Write clean, production-level Python and SQL code. Collaborate with cross-functional teams to deliver models that support business outcomes. Use MLOps practices and Azure tools to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track … record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. Knowledge of GitLab, JIRA, Agile practices, and UNIX environments. Nice to Have: Background in cloud computing, big data tools, or containerization technologies. If you're looking to deliver More ❯
deployment and monitoring. Write clean, production-level Python and SQL code. Collaborate with cross-functional teams to deliver models that support business outcomes. Use MLOps practices and Azure tools to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track … record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. Knowledge of GitLab, JIRA, Agile practices, and UNIX environments. Nice to Have: Background in cloud computing, big data tools, or containerization technologies. If you're looking to deliver More ❯
deployment and monitoring. Write clean, production-level Python and SQL code. Collaborate with cross-functional teams to deliver models that support business outcomes. Use MLOps practices and Azure tools to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track … record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. Knowledge of GitLab, JIRA, Agile practices, and UNIX environments. Nice to Have: Background in cloud computing, big data tools, or containerization technologies. If you're looking to deliver More ❯
cloud platforms (AWS, GCP, Azure). ✅ Collaborating with data scientists, engineers, and product teams to ship AI features that make a real impact. ✅ Implementing MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: Strong Python skills – You know your way around TensorFlow, PyTorch, or … Hugging Face. Experience with LLMs, NLP, or recommendation algorithms . Familiarity with MLOps, APIs, and scalable cloud solutions . Passion for AI-powered personalisation and making tech feel more human. A builder’s mindset – You don’t just train models; you bring AI to life . Why You’ll Love More ❯