16 of 16 Permanent MLOps Jobs in the South East

enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies ...

TensorFlow, PyTorch, or scikit-learn Eagerness to learn, curiosity, and a problem-solving mindset Nice to Have Cloud experience (AWS, GCP, Azure) Familiarity with MLOps tools (Docker, MLflow, Kubeflow) Deep learning knowledge (CNNs, RNNs, Transformers) Internship, research, or academic projects in ML/AI Why Join Hands-on experience with ...

associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise ...

globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML solutions into the wider Spacetime platform Act as a technical expert ...

language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles ...

engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance, responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience ...

MLOps Engineer London Based - Hybrid (Three days per week on site)£90,000 to £110,000 plus bonus This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working … would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership. The Role In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems. Responsibilities include: Supporting data scientists and AI engineers to build, deploy ...

background) Experience building products from 0-1 , ideally in a startup or scale-up Comfortable working on APIs, cloud/infra products, or MLOps tooling Kubernetes An AI power user actively experimenting with multiple tools Confident individual contributor with strong stakeholder skills Strong experience in decentralised/blockchain environments Working ...

personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives ...

using both classical ML and generative AI. Integrate AI into digital products through services, APIs, and safe, compliant guardrails. Manage model life cycle and MLOps while sharing best practices and enabling colleagues. Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python … experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful Senior AI Engineer will receive the following benefits: Salary ...

Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements … using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps/AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency ...

Predictive modelling for customer churn, asset failure, or sales performance Full ML life cycle ownership: prototyping deployment monitoring Building production-ready pipelines, APIs, and MLOps workflows You'll typically work in a small and cross-functional team. SKILLS AND EXPERIENCE The successful Machine Learning Engineer will have the following skills … Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure) Experience building and deploying production ML systems Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential) Solid understanding of modern ML methods and data engineering fundamentals Strong academic background (ideally Russell Group, with ...

scripts, and intelligent agents. Partner with R&D teams and digital leads to identify and prototype use cases aligned to business needs. Contribute to MLOps processes, model documentation, and system validation workflows. Help drive platform integration, compliance tracking, and continuous improvement initiatives. Collaborate on internal capability building (e.g., hackathons, training … analytics, or automation, preferably in R&D or life sciences. Practical experience building or supporting machine learning pipelines or agent-based tools. Familiarity with MLOps tools, low-code automation platforms, or scripting languages (e.g., Python, R). Strong communication and project coordination skills. About CSL Behring CSL Behring ...

Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs and vector databases Ability to design AI platforms that integrate with existing enterprise technology stacks … services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including containerisation and orchestration platforms Proven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluation Strong understanding ...

base The company is a leading global software platform which is transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwide - including many of the largest global organizations - the platform plays a critical role in securing and accelerating software … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus IND123 ...

business. The Role * Lead end to end development of underwriting and acquisition models. * Set modelling standards, quality controls, and documentation practices. * Oversee deployment with MLops * Work closely with engineering, product, commercial, and data teams. Your Skills and Experience * Strong hands on experience building models in Python. * Background in credit risk … modelling, or customer behaviour modelling. * Confident communicator with senior stakeholders. * Leadership experience in technical teams. * Experience with XGBoost or other boosting techniques. * Knowledge of MLOps or R is a plus but not essential. What They Offer * £120,000 to £150,000 base salary. * Bonus * Share options. * Hybrid working, three days ...