2,151 to 2,175 of 4,610 Software Engineering Jobs in the UK excluding London

the need for a brand new technology function. This company is steeped in history in the darts world, and its recent acquisition of a tech firm that develops autoscoring software means it needs forward-thinking technologists to join the team. This DevOps hire will specify, configure and maintain cloud resources and other tooling used by the group for rapid … deployment Implement and test backups and disaster recovery procedures, adhering to recovery point/time and isolation objectives Manage Cloud expenditure, keeping usage cost-effective Work closely with the Software Engineering team to ensure the infrastructure is fit for purpose and easy to use. Requirements - Deep knowledge of at least one of the major Cloud environments (GCP, AWS More ❯

is responsible for leading the design, delivery, and continuous evolution of BCG's security platforms across identity, device, and data protection domains. This role ensures end-to-end security engineering across all technology environments, including cloud, on-prem, and hybrid systems. The leader will drive strategic planning, execution, and operations of scalable, automated, and resilient security controls that protect … and agility across BCG Core, BCG X, and CT worldwide. This role is also accountable for embedding security within DevSecOps practices, enforcing automation at scale, and applying Site Reliability Engineering (SRE) principles across all security services. The role requires strong partnership with ISRM, with a focus on balancing and prioritizing security requirements, automation opportunities, user experience needs, and broader … business outcomes. Key Responsibilities Strategic Leadership & Transformation: Define and execute a unified security engineering strategy that addresses identity, endpoint, and data protection across all environments. Lead the design and implementation of scalable, automated security solutions that integrate seamlessly into enterprise platforms and user experiences. Establish a global security architecture and engineering roadmap focused on prevention, detection, and rapid More ❯

the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams … to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to … Kanban Modeling tools: UML, ArchiMate, Ardoq What you can expect Create and assure key architecture artefacts (e.g., Key Design Decision, Technical Options Paper, High Level Design) Collaborate closely with Engineering teams, often taking a lead SME role to define vision and establish Architectural Guardrails. Support senior leaders in shaping their case for change, leading on cost estimation and detailed More ❯

we'll need you to be self-sufficient. In other words, if you need help, ask and get what you need. We are looking for the following skills Application engineering with Python and JavaScript/Typescript programming - working in a business and successfully building new apps both independently and as part of a team Some hands on experience in …/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be helpful We are working hard More ❯

the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams … to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to … Kanban Modeling tools: UML, ArchiMate, Ardoq What you can expect Create and assure key architecture artefacts (e.g., Key Design Decision, Technical Options Paper, High Level Design) Collaborate closely with Engineering teams, often taking a lead SME role to define vision and establish Architectural Guardrails. Support senior leaders in shaping their case for change, leading on cost estimation and detailed More ❯

Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. Innovation: Contribute to overall account … cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). Experience with MLOps/LLMOps tools More ❯

Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. Collaboration: Work closely with cross-functional teams—including data science, engineering, and business stakeholders—to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. Innovation: Contribute to overall account … cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). Experience with MLOps/LLMOps tools More ❯

Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. Collaboration: Work closely with cross-functional teams—including data science, engineering, and business stakeholders—to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. Innovation: Contribute to overall account … cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). Experience with MLOps/LLMOps tools More ❯

Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. Collaboration: Work closely with cross-functional teams—including data science, engineering, and business stakeholders—to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. Innovation: Contribute to overall account … cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). Experience with MLOps/LLMOps tools More ❯

Content Management System design principles and best practices, preferably using Sitecore CMS Experience with Azure native architectures, Microservice architecture, Message Queuing and Integration Services e.g. APIM Solid knowledge of software engineering best practices: object-oriented design and implementation, SOLID principles, Agile and Scrum Proficiency with HTML5, CSS3, Responsive Web Design and associated JavaScript third party libraries Apply today More ❯

mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build … This is a senior hands-on role, where you'll also provide technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable … data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate data systems with wider product and engineering initiatives. Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement. Evaluate and More ❯

Content Management System design principles and best practices, preferably using Sitecore CMS Experience with Azure native architectures, Microservice architecture, Message Queuing and Integration Services e.g. APIM Solid knowledge of software engineering best practices: object-oriented design and implementation, SOLID principles, Agile and Scrum Proficiency with HTML5, CSS3, Responsive Web Design and associated JavaScript third party libraries Apply today More ❯

Content Management System design principles and best practices, preferably using Sitecore CMS Experience with Azure native architectures, Microservice architecture, Message Queuing and Integration Services e.g. APIM Solid knowledge of software engineering best practices: object-oriented design and implementation, SOLID principles, Agile and Scrum Proficiency with HTML5, CSS3, Responsive Web Design and associated JavaScript third party libraries Apply today More ❯

data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in the product and have a lot of greenfield development work to get stuck … Manchester three days a week with flexibility to work from home the other two days. About you: You are a Senior Data Engineer with a strong knowledge of modern software engineering best practices You have indepth AWS experience across storage, compute and orchestration services You have strong Python scripting/coding skills for data wrangling and pipeline development More ❯

data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in the product and have a lot of greenfield development work to get stuck … Manchester three days a week with flexibility to work from home the other two days. About you: You are a Senior Data Engineer with a strong knowledge of modern software engineering best practices You have indepth AWS experience across storage, compute and orchestration services You have strong Python scripting/coding skills for data wrangling and pipeline development More ❯

because of our people. Your role In the role of Senior Technology Architect, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the Architecture and high level design artifacts. You will also … Functions/Triggers/Cursors • Kaleo workflow, Entra/Azure AD/LDAP/SAML integration Preferred • 15+ year’s experience in Information Technology. • 5+ years of hands-on software engineering experience in agile-driven SDLC. • Bachelor's/Master’s degree in Computer Science or Engineering, or equivalent experience. • Proven track record of being self-directed More ❯

because of our people. Your role In the role of Senior Technology Architect, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the Architecture and high level design artifacts. You will also … Functions/Triggers/Cursors • Kaleo workflow, Entra/Azure AD/LDAP/SAML integration Preferred • 15+ year’s experience in Information Technology. • 5+ years of hands-on software engineering experience in agile-driven SDLC. • Bachelor's/Master’s degree in Computer Science or Engineering, or equivalent experience. • Proven track record of being self-directed More ❯

impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and optimisation of credit risk and … Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and … focused on experimentation and impact. Competitive salary, stock options, and benefits. Hybrid working and flexibility. Interview Process Recruiter Call – Introduction & background Technical Interview – Deep dive into ML design, feature engineering, and evaluation Practical Task – Model development or analysis challenge Final Interview – Team fit, leadership approach, and business alignment More ❯

impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and optimisation of credit risk and … Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and … focused on experimentation and impact. Competitive salary, stock options, and benefits. Hybrid working and flexibility. Interview Process Recruiter Call – Introduction & background Technical Interview – Deep dive into ML design, feature engineering, and evaluation Practical Task – Model development or analysis challenge Final Interview – Team fit, leadership approach, and business alignment More ❯

impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and optimisation of credit risk and … Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and … focused on experimentation and impact. Competitive salary, stock options, and benefits. Hybrid working and flexibility. Interview Process Recruiter Call – Introduction & background Technical Interview – Deep dive into ML design, feature engineering, and evaluation Practical Task – Model development or analysis challenge Final Interview – Team fit, leadership approach, and business alignment More ❯

data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in the product and have a lot of greenfield development work to get stuck … Manchester three days a week with flexibility to work from home the other two days. About you: You are a Senior Data Engineer with a strong knowledge of modern software engineering best practices You have indepth AWS experience across storage, compute and orchestration services You have strong Python scripting/coding skills for data wrangling and pipeline development More ❯

data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in the product and have a lot of greenfield development work to get stuck … Manchester three days a week with flexibility to work from home the other two days. About you: You are a Senior Data Engineer with a strong knowledge of modern software engineering best practices You have indepth AWS experience across storage, compute and orchestration services You have strong Python scripting/coding skills for data wrangling and pipeline development More ❯

big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and … adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker … for an engineer who's comfortable getting stuck into all layers of AI delivery - from model design to deployment. You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms More ❯

big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and … adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker … for an engineer who's comfortable getting stuck into all layers of AI delivery - from model design to deployment. You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms More ❯

big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and … adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker … for an engineer who's comfortable getting stuck into all layers of AI delivery - from model design to deployment. You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms More ❯