Norton Blake

Machine Learning Engineer, ML Engineer, Hybrid, up to 110k London (Hybrid - 5 days a month) £80,000 - £110,000 depending on experience My client, a RegTech leader, is looking for a Machine Learning Engineer to join a growing AI/ML team working on cutting-edge NLP, search, and classification problems. This is a chance to shape and productionise ML solutions that directly impact a global user base in financial services. What You'll Do Design, build, and productionise ML/NLP models for large-scale SaaS products and APIs Write clear, modular, testable Python code and deploy via modern CI/CD pipelines Improve performance and scalability of models, data ingestion, cleaning, and pipelines Explore new ML/NLP techniques and keep the team up to date with research trends Propose cloud architectures and ensure robust ML operations (MLOps) Collaborate through code reviews, knowledge sharing, and documentation What We're Looking For Strong experience working with textual data and NLP Proven ability to write clean, testable Python code Familiarity with SQL and NoSQL/graph databases Hands-on experience with ML/DL frameworks (eg PyTorch, TensorFlow, Hugging Face) End-to-end cloud deployment experience (AWS, GCP, or Azure) Solid grasp of data structures, modelling, and cloud-based architecture A systems thinker with a passion for MLOps best practices Strong maths/stats grounding and ability to collaborate with research-oriented colleagues Please apply for more information Machine Learning Engineer, ML Engineer, Hybrid, up to 110k

My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)

SQL Developer - PowerBI, ETL, T-SQL, SSIS, SSRS, Data Warehouse - £70K per annum My client, a leader in their field are on the lookout for a SQL Developer to join their expanding team. This organisation are looking for a talented developer with a strong T-SQL programming background to join a greenfield project. The successful individual will have excellent data analysis capabilities and a solid foundation in Scripting and ETL processes. Responsibilities: Develop data analysis automation in SQL Server Collaborate with senior members throughout business whilst acting as project lead Support data requests and Tableau-based analytics solutions Data warehouse activities including ETL, troubleshooting, bug fixing and enhancements Requirements: Solid experience in a Microsoft SQL Server environment (SSIS, SSRS, SSMS) PowerBI reporting Excellent T-SQL Scripting ability Knowledge of data warehousing ETL best practice Data visualisation in PowerBI or similar technology An understanding of APIs will be a significant advantage SQL Developer - PowerBI, ETL, T-SQL, SSIS, SSRS, Data Warehouse - £70k per annum

My client is on a journey to build a set of new generation database tools to build, manage and operate various databases in AWS with a infrastructure as code mindset and migrating databases from our On-Prem private cloud to AWS. The development of those tools will also enable other database users to have the capability to manage and operate their own database platforms. We use various database RDBMS and NoSQL technologies. We support multiple databases platforms - running on both private and public cloud infrastructure. WHAT YOU WILL BE DOING Gather required specifications, design the software framework and develop the necessary tools. Deliver self-service tools to facilitate the usability of the datastore services to help the engineering development (or developer) success. Maintain and enhance Python/Django based applications running as micro services on Kubernetes. Desired hands on usage of Git version control system and designing version control process methodologies. Collaborate with other database engineering teams to build tools in order to facilitate and increase the efficiency of operation routine tasks. Onboard, support and maintain the automation tools with users. Participate OnCall duty for critical tool sets. Strategize on building proactive monitoring and alerting to pre-empt outages. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Demonstrable experience with programming languages (eg: Python and Python Framework such as Django, etc) in software engineering roles, with full stack database driven development experience using any of the following open source databases: MySQL, Cassandra, DynamoDB, PostgreSQL, MongoDB, ElasticSearch or Hadoop. Strong years of experience with infrastructure automation and configuration management (eg: Ansible, SaltStack, Terraform, Puppet, Chef ), can orchestrate and automate complex administrative tasks. Substantial years of experience with independent design and developing client tools experience from end to end. Experience with building microservices applications on container platforms such as Kubernetes. Experience in observability and alerting (eg: Prometheus, InfluxDB, ElasticSearch) Experience working with AWS DB solutions and their ecosystems (eg: Aurora, RDS, DynamoDB, lambda, EC2, Cloudwatch, Eventbus, SNS and AMI, Kafka etc.) Experience working on the infrastructure of open-source databases (eg: MySQL, Cassandra, DynamoDB, PostgreSQL, MongoDB, ElasticSearch, or Hadoop). Experience with Database observability or general system observability (metrics, dashboards, and alerts). Experience designing CI/CD pipelines to maintain infrastructure code deployment Strong fundamentals of Linux/Unix system knowledge If this is something you could be interested in please send me your most up to date CV to (see below) or give me a call

My major consultancy client is looking to recruit a Digital Programme Manager who has worked on multiple digital transformation projects within the Retail Sector. The ideal Digital Programme Manager will have excellent experience leading multiple streams of retail projects and have a good understanding or retail-focused technology. THIS ROLE IS INSIDE IR35 Requirements: Proven record of delivering digital transformation programmes, ideally within the retail sector. Have experience of building credible relationships both inside the organisation and externally Good influencing skills Strong project, stakeholder and programme management skills Strong vendor management and influencing/negotiating skills Strong reporting skills for programme status and financial forecasting Excellent communication and influencing skills and adaptability to changes Be flexible and willing to adapt to the changing needs of the programmes If you are interested in this role please get in touch as soon as possible.