1,976 to 2,000 of 6,859 Permanent Software Engineering Jobs

strong technical depth. You’ll serve as both a coach and an architect of the team, shaping best practices for data science in agentic systems, while partnering closely with Engineering and Product. Tasks & Responsibilities Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization. Define and communicate the long-term Data … agentic AI within Planning. Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. Establish best practices for experimentation, evaluation, and monitoring of agent-based systems (including causal tracing, benchmarking … experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering principles. You have worked with common python frameworks (Numpy, Pandas...) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). More ❯

strong technical depth. You’ll serve as both a coach and an architect of the team, shaping best practices for data science in agentic systems, while partnering closely with Engineering and Product. Tasks & Responsibilities Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization. Define and communicate the long-term Data … agentic AI within Planning. Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. Establish best practices for experimentation, evaluation, and monitoring of agent-based systems (including causal tracing, benchmarking … experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering principles. You have worked with common python frameworks (Numpy, Pandas...) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). More ❯

written specifications. You will build and maintain efficient, reusable, reliable and secure code based on Agile user stories. Working within a multi-functional agile team, you will develop enterprise software, adhering to company standards and established software methodology. To help the teams develop and learn, you will review work of peers and more junior developers, providing advice and … with them to resolve issues, and proactively identify improvements that will increase reliability, optimize processes, and balance risk/reward. Essential Skills/Experience Required: Proven experience working in software development Knowledge of Distributed System Design and Implementation Experienced software engineer with excellent knowledge of Java Experience in Cloud technologies, e.g. AWS, Azure. Good knowledge of Linux, it … and tools Have experience in object-oriented methodologies, design patterns Understanding of Big Data technologies such as Hadoop, Spark Understanding of security implications and secure coding Proven grasp of software development lifecycle best-practices, agile methods, and conventions, including Source Code Management, Continuous Integration Practical experience with agile development methodologies and tools (Scrum, JIRA etc.) Skills for writing clean More ❯

evaluating, developing and implementing a host of AI solutions to support patient care at the Trust. The postholder will have the opportunity to participate in every part of the software development lifecycle, work in multidisciplinary teams to design, develop and deliver digital solutions in the NHS. They will also be able to learn about different project management styles, attend … international and national conferences, and help support a national educational programme in clinical AI. This is an exciting opportunity for AI developers, software engineers, data scientists and clinical scientists with strong background in coding to translate their research and ideas into clinical practice. The majority of the work is done remotely and the postholder must be able to work … post-work events and group lunches. There is an atmosphere of openness and collaboration. We have a quality management system certified by the BSI which allows us to develop Software As a Medical Device; we have an MLOPs created in-house which we use to train our models, and we have a deployment platform through which our AI applications More ❯

and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile … Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful More ❯

Starling engine is essential. Managing requirements gathering and solution design: You will work closely with product owners, solution architects, development teams, and programme managers, leveraging agile methodologies throughout the software delivery lifecycle. This includes backlog definition, story mapping, writing user stories and developing design documents. Appreciation of emerging technology and trends in banking with an understanding and knowledge of … their capabilities meet the need of our clients. Overseeing programme management efforts and coordinating multiple interconnected workstreams to ensure alignment and successful delivery of core banking solutions. Collaborating with engineering and platform teams on tasks such as setting up environments, configuration and supporting technical and product aspects of various core implementations. Driving data-driven decisions and process optimisation: You … at least in one domain. Experience in assessing banking IT landscapes, business drivers and understanding impact of emerging technologies to define target and transition state architectures. A background in software engineering or experience with hands on technology development and delivery. Preferably you will also have: Industry certifications such as BCS, SCRUM, SAFe, PMP among others. Enterprise or solution More ❯

Starling engine is essential. Managing requirements gathering and solution design: You will work closely with product owners, solution architects, development teams, and programme managers, leveraging agile methodologies throughout the software delivery lifecycle. This includes backlog definition, story mapping, writing user stories and developing design documents. Appreciation of emerging technology and trends in banking with an understanding and knowledge of … their capabilities meet the need of our clients. Overseeing programme management efforts and coordinating multiple interconnected workstreams to ensure alignment and successful delivery of core banking solutions. Collaborating with engineering and platform teams on tasks such as setting up environments, configuration and supporting technical and product aspects of various core implementations. Driving data-driven decisions and process optimisation: You … at least in one domain. Experience in assessing banking IT landscapes, business drivers and understanding impact of emerging technologies to define target and transition state architectures. A background in software engineering or experience with hands on technology development and delivery. Preferably you will also have: Industry certifications such as BCS, SCRUM, SAFe, PMP among others. Enterprise or solution More ❯

Starling engine is essential. Managing requirements gathering and solution design: You will work closely with product owners, solution architects, development teams, and programme managers, leveraging agile methodologies throughout the software delivery lifecycle. This includes backlog definition, story mapping, writing user stories and developing design documents. Appreciation of emerging technology and trends in banking with an understanding and knowledge of … their capabilities meet the need of our clients. Overseeing programme management efforts and coordinating multiple interconnected workstreams to ensure alignment and successful delivery of core banking solutions. Collaborating with engineering and platform teams on tasks such as setting up environments, configuration and supporting technical and product aspects of various core implementations. Driving data-driven decisions and process optimisation: You … at least in one domain. Experience in assessing banking IT landscapes, business drivers and understanding impact of emerging technologies to define target and transition state architectures. A background in software engineering or experience with hands on technology development and delivery. Preferably you will also have: Industry certifications such as BCS, SCRUM, SAFe, PMP among others. Enterprise or solution More ❯

closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs , strong Python engineering skills , and real-world experience shipping and supporting models in production . You should be comfortable owning delivery timelines and ensuring that solutions meet business needs and production-grade … Evaluate third-party AI solutions with a critical eye on performance, scalability, and integration into production environments. Write and maintain production-grade Python code , adhering to best practices in software engineering and model development. Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products. What you'll bring: Essential … audiences. Desirable Skills Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products More ❯

in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered … You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers More ❯

Develop and execute the data science team's strategic roadmap, managing complex projects from conception to deployment Make high-impact technical decisions and provide guidance Establish best practices in software engineering and machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of … ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines (Airflow Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders Education PhD's, Master's, or Bachelor's degree in Computer Science, Machine More ❯

solutions. Play a role in architectural decisions and shaping the technical roadmap. Leverage cloud-native technologies (Google Cloud, Kubernetes) to support growth and best practices. The Candidate 5+ years’ software engineering experience , ideally in fintech, banking, or payments. Strong backend skills with Node.js (NestJS a plus), TypeScript, SQL, and distributed systems. Experience with event-driven architecture (Kafka, Google More ❯

solutions. Play a role in architectural decisions and shaping the technical roadmap. Leverage cloud-native technologies (Google Cloud, Kubernetes) to support growth and best practices. The Candidate 5+ years’ software engineering experience , ideally in fintech, banking, or payments. Strong backend skills with Node.js (NestJS a plus), TypeScript, SQL, and distributed systems. Experience with event-driven architecture (Kafka, Google More ❯

solutions. Play a role in architectural decisions and shaping the technical roadmap. Leverage cloud-native technologies (Google Cloud, Kubernetes) to support growth and best practices. The Candidate 5+ years’ software engineering experience , ideally in fintech, banking, or payments. Strong backend skills with Node.js (NestJS a plus), TypeScript, SQL, and distributed systems. Experience with event-driven architecture (Kafka, Google More ❯

solutions. Play a role in architectural decisions and shaping the technical roadmap. Leverage cloud-native technologies (Google Cloud, Kubernetes) to support growth and best practices. The Candidate 5+ years’ software engineering experience , ideally in fintech, banking, or payments. Strong backend skills with Node.js (NestJS a plus), TypeScript, SQL, and distributed systems. Experience with event-driven architecture (Kafka, Google More ❯

on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. Being owned by Pacific Life, we have the best of both worlds - the freedom to experiment like a start-up with the stability of our parent company. If … the NLP space. Experience inintegrating Large Language Models (LLMs)into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge ofprompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and … with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance/healthcare sector. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data More ❯

solutions. Play a role in architectural decisions and shaping the technical roadmap. Leverage cloud-native technologies (Google Cloud, Kubernetes) to support growth and best practices. The Candidate 5+ years’ software engineering experience , ideally in fintech, banking, or payments. Strong backend skills with Node.js (NestJS a plus), TypeScript, SQL, and distributed systems. Experience with event-driven architecture (Kafka, Google More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with More ❯

home from anywhere in the UK. Please note: you must be a UK citizen or hold the right to work without visa restrictions. About you: You have strong backend software engineering experience with TypeScript and Node.js You have experience with Kafka and Event Driven Architectures You have a good knowledge of microservices, RESTful APIs and scalable system architecture More ❯

building and optimising global data pipelines supporting over 50 consumer panels worldwide. Lead the technical strategy for data architecture, quality, and scalability. Collaborate closely with data scientists, analysts, and software engineers to drive innovation in data engineering. Hybrid flexibility: 1–2 days per week in London, Reading, or Southbank office , balance remotely. Join a global organisation with the resources … continuous learning. Partnering with Data Science and BI teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp More ❯

building and optimising global data pipelines supporting over 50 consumer panels worldwide. Lead the technical strategy for data architecture, quality, and scalability. Collaborate closely with data scientists, analysts, and software engineers to drive innovation in data engineering. Hybrid flexibility: 1–2 days per week in London, Reading, or Southbank office , balance remotely. Join a global organisation with the resources … continuous learning. Partnering with Data Science and BI teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp More ❯