Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

Google★4.3 (6.2k)· London

Work with Python, Java, Go, C or C++, large language models, prompt development, and conversational AI frameworks. As an AI Solutions Deployment Manager on the Google Cloud Consulting Professional Services team, you guide customers through their cloud journey and help deliver agentic AI solutions for Google’s most strategic global clients.

You'll lead a 6-7 person team owning core ML infrastructure—distributed model training, LLM hosting/fine-tuning, and scalable deployment—using Python heavily with working C++/Java, at a top systematic quant fund. This hands-on engineering manager role drives ML into high-stakes production systems.

Works with Java, integration patterns, CI/CD, observability, and cloud-native services, building reusable build kits, connectors, and platform services. As Engineering Manager in Integration at Sainsbury's Tech, leads a multi-skilled engineering team creating common integration capabilities that standardize how integrations are built, deployed, and operated across the retail business.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

You will work with Python (FastAPI), AWS, LLMs (OpenAI, Gemini, Anthropic), RAG, agentic workflows, MCP servers, and CI/CD pipelines. This player-coach role leads a squad building AI-driven solutions for BCG’s internal products and processes, delivering GenAI applications while cultivating engineering talent.

Deloitte★3.9 (14k)· London

Work with Python, CI/CD, PyTorch, MLFlow, FastAPI, Azure (Fabric, Data Factory, ML Studio, Synapse, Cosmos), and LLM tools (RAG, embeddings). You will lead end-to-end AI/ML projects for Deloitte’s Tax & Legal Data and AI Studio, delivering analytics and AI-driven client solutions.

FDM Group★2.9 (270)· London

Lead multiple cross-functional engineering teams for a banking/lending technology programme at a financial services client. Oversee ~20 engineers across 3-4 feature teams using Java, Spring Boot, React/React Native, and cloud-based solutions. Drive DevOps, CI/CD, secure coding, and platform modernisation.

AWS, Kubernetes/EKS, Java, Go, TypeScript. Owns a process orchestration platform end-to-end, managing the engineering roadmap, vendor upgrades, and internal improvements across consuming teams. Stays hands-on with code and architecture.

Sainsbury’s★3.5 (16k)· London

You will work with Java, integration patterns, CI/CD, observability, and cloud-native services to build reusable build kits, common components, and platform services. Your team delivers integration capabilities that standardise how integrations are built, deployed, and operated, reducing repeated engineering effort and accelerating delivery across Sainsbury’s Tech.

FDM Group★2.9 (270)· London

Senior Engineering Manager leading ~20 engineers across 3-4 feature teams, working with Java, Spring Boot, React/React Native, AWS, DevOps, CI/CD, SonarQube, Veracode, Jira, and Confluence. The role delivers critical banking and lending technology programmes, including platform modernisation and large-scale migration.

Boston Consulting Group★4.2 (537)· London

You will work hands-on with Python (FastAPI), LLMs (OpenAI, Gemini, Anthropic), cloud-native development on AWS, and CI/CD pipelines. As a player-coach in an AI/ML squad at Boston Consulting Group, you will build and deliver GenAI products leveraging RAG, agentic workflows, and MCP servers. You will lead and mentor a team of engineers, acting as both a contributor and architect.

Boston Consulting Group★4.2 (537)· London

The role involves hands-on backend development in Python (FastAPI), integrating LLMs (OpenAI, Gemini, Anthropic), building RAG solutions, agentic workflows, MCP servers, and Claude Skills, using AWS, DevOps, and CI/CD. The manager leads a squad building GenAI products for BCG's consulting business, acting as a player-coach who mentors engineers. Team size is not stated.

Java, integration patterns, CI/CD, observability, and cloud-native services. Leads a team building and operating reusable build kits, deployment automation, and common integration platform services. Manages and coaches a multi-skilled engineering team.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.

Sainsbury’s★3.5 (16k)· London

As Engineering Manager in Integration, you'll lead and coach a multi-skilled team building reusable integration kits, common components, and platform services using JAVA. You'll drive CI/CD, observability, and cloud-native services to standardise how integrations are built, deployed, and operated across Sainsbury’s.

Deloitte★3.9 (14k)· London

You will work with Python, NumPy, Pandas, scikit-learn, LangChain, Hugging Face, LlamaIndex, Azure Machine Learning, Foundry, Git, and Agile practices. The team is Deloitte’s Tax Digital Innovation AI & Data Studio, which researches, builds, and delivers analytics and AI-driven solutions for tax and legal clients.

Principal Python engineer (individual contributor) on a small, highly skilled team building data pipelines and event streaming for Europe's largest equities exchange. Uses Python, SQL, Linux, PostgreSQL, Snowflake, Kafka, Airflow, Django/Flask/FastAPI; practices TDD, BDD, and pair programming.

Lead the Integrations team connecting Yuno’s payment platform to PSPs and gateways globally. You’ll work with Java, Golang, Kotlin, SQL, microservices, event-driven architectures, APIs, and AI-assisted coding tools like Claude Code, shaping scalable, secure payment infrastructure.

You will work with Python, SQL, PostgreSQL, Snowflake, Kafka, Airflow, Django/Flask/FastAPI, and practice TDD, BDD, and pair programming. As a principal individual contributor, you build and expand the data pipeline and event streaming infrastructure powering Europe’s largest equities exchange. You mentor engineers across Europe and the US within a small, highly skilled team.

You will use Python, R, machine learning, NLP, and AI tools to lead a data science team at BIT. The company designs evidence-based policy and services through RCTs, quasi-experiments, and advanced techniques like predictive modelling and agentic AI for social impact.

Work with Java, Kafka, OpenShift, Docker, Kubernetes, Azure, Ansible, CI/CD tools (Jenkins, GitLab, Azure DevOps), and monitoring tools (Prometheus, Grafana, Splunk). Drive test environment strategy for a large-scale transformation from a legacy monolithic system to a microservices-based architecture. Also support and manage legacy Linux/HP Non-Stop environments.

Lead engineering standards for a high-growth SaaS platform using NestJS/NodeJS, VueJS, Redis, SQL Server, Snowflake. The company builds data-driven digital products that help commercial teams understand and engage customers. You lead a team of AI-driven developers, balancing people leadership, technical direction, and delivery.

Platform Engineering Managers at Baringa Partners will work with CI/CD systems, Infrastructure as Code (IaC), AWS/Azure/GCP, Python or JavaScript, and Terraform. The team builds secure, automated cloud-based data analytics platforms and internal developer toolchains for clients. The role leads a platform engineering team to harden environments, enforce security policies, and design reusable artifacts.