2,901 to 2,925 of 9,403 Software Engineering Jobs in the UK

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 … 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 ...

Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart … engineering talent market demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering ...

their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs … This is a hands‐on, customer‐facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable ...

streaming platforms. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available. Collaborate with analysts, business stakeholders and software engineers to understand data requirements and provide clean, accessible datasets. Optimise and improve the performance of our data architecture and pipelines. Contribute … team's best practices for data engineering and facilitate knowledge sharing within the wider team. Required Skills & Qualifications 3+ years of hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience ...

Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with ...

Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with ...

opportunity to work on meaningful AI challenges while helping shape the technical foundations of our AI strategy. You'll collaborate with AI engineers, software engineers, and product teams to solve complex problems, influence technical direction, and ensure our data platforms are reliable, scalable, and built for the future. Alongside … hands-on technical delivery, you'll support and mentor engineers across the team, helping to raise engineering standards and drive best practices. Responsibilities Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities. Owning the reliability, performance, and operational excellence of production ...

platform to .NET 8+ and Svelte.js, including containerized deployments. Automating infrastructure with Pulumi and Azure DevOps. Participating in architecture discussions, code reviews, and maintaining engineering best practices. What you may have: Strong experience with C#/.NET, including async/await, memory management, and resource handling. Deep knowledge … Server, including query optimization, indexing, execution plans, and performance tuning. Solid understanding of HTML5, CSS3, Flexbox, and CSS Grid. 5+ years of varied software engineering experience, ideally including scalable systems. Experience with distributed systems, monoliths, or microservices. Demonstrate a keen interest in improving your craft by using ...

with clear security risk reporting, remediation guidance, and strategic security roadmaps Lead or contribute to Security Champions communities of practice, fostering a security‐aware engineering culture within client organisations Provide security assurance for software development and third‐party supplier onboarding, including SSPM tooling and SaaS security reviews Architect … Practical experience with Infrastructure as Code (e.g. Terraform) and secure CI/CD pipeline design, alongside a background in application security, DevSecOps, or secure software engineering Strong knowledge of network protocols including TCP/IP, DNS, VPN, and IPSEC, with experience working in scaled agile environments Excellent stakeholder ...

batch and ELT/ETL data workflows for ingesting and processing large datasetsWork with technologies such as Python, Java, Spark, SQL, and AirflowApply good software engineering practices, including testing, documentation, and CI/CDContribute to cloud‐based systems (AWS), focusing on reliability, monitoring, and automationCollaborate with product, platform … data science partners to deliver meaningful outcomesSupport team learning through code reviews and knowledge sharing. Requirements: Experience working as a data or software engineer on production systemsStrong skills in Python and experience with at least one backend language (such as Java)Understanding of data engineering concepts such ...

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 ...

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 ...

Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart … engineering talent market demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering ...

biggest projects - ranging from tools that support energy networks forecast risk and adapt to climate change using empirically-derived resilience models, to image recognition software using satellite and aerial imagery, to genAI-powered applications including bespoke assistants and agents. We are focused on delivering value-adding solutions aligned … UK. What you will be doing Defining and implementing machine learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenanceEstablishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructureWorking with clients ...

# AI LLM Engineer - Autonomous NetworkLondon, AbingdonApply for this job* Permanent* Experienced Professionals* Products & Systems Engineering* ID 517607-en\\_GB## **Your Role**This role focuses on designing and building the AI brain for autonomous network operations. The AI/LLM Engineer will develop LLM-based agents, RAG systems, multi … data leakage prevention, and access controls.* Deploy AI services using Kubernetes, Docker, APIs, and cloud-native patterns.## **Your Profile*** Experience in AI/ML engineering, data engineering, software engineering, or applied machine learning.* Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems.* Strong ...

setting architectural direction, ensuring alignment with business needs, and guiding teams to deliver robust, production-grade solutions. The Data Solution Architect works across engineering, product, and data teams to ensure solutions are well-designed, maintainable, and aligned with standards for performance, security, and governance. Key Responsibilities Design … scalability needs. Define and enforce technical standards for data architecture, including data modelling, integration patterns, and system design. Provide technical leadership and guidance to engineering teams, supporting implementation and ensuring adherence to architectural principles. Review and approve solution designs, code, and implementations to ensure quality, consistency, and alignment with ...

engagement: problem framing, build, demo, iteration, and hand-off to productionActs as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreamsBalances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability … solutioning and deliveryChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI/ML engineering concepts and applied experienceAdvanced Python and full-stack/generalist engineering ability - backend, data, and lightweight front-end - to ship a working ...

fast-paced digital agency based in Hitchin, Hertfordshire. CDA exists to make digital, human. We’re a full-service digital agency specialising in software development, eCommerce, customer experience and digital marketing. We value simplicity, avoiding complexity and jargon. This opportunity will see the successful candidate responsible for CDA cloud … infrastructure environments and Production incident management, working closely with the Software Development and Operations team. THE SUCCESSFUL CANDIDATE We’re looking for a technical, solution-focused individual, with experience in technical support, diagnostics, or software engineering, to join our team on a full-time, permanent basis. This ...

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. Why consider joining our Digital & Data community? 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 ...

some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods. About the role: Working within the Data Engineering team you will learn how to deliver data engineering and pipelines on a range of complex client datasets, working closely with client services, data … analysts/scientists. Please note: The client is recruiting for a November start date. What will you learn: How to create and deliver data engineering pipelines on a range of client data and data services to support client data products and marketing for reporting and analytics How to understand ...

agents, agentic workflows, and the orchestration/harness layers that integrate LLMs into internal systems and the trading product. This is a hands-on engineering role: you will write production code, put evaluation and observability on everything shipped, and operate autonomously in a lean team. Key Responsibilities Build agent … retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling (GitHub, Slack, Intercom, Jira) or building bespoke solutions when required. Prototype and productionize ...

providing sponsorship for this vacancy Minimum of 2 years of hands-on experience using Python to solve analytical, data science, machine learning, or data engineering problems Foundational understanding of statistics, machine learning, and data analysis techniques Experience applying statistical, machine learning, and data analysis concepts to real-world business … similar technologies Desirable: exposure to LLMs, generative AI, AI agents, or agent orchestration frameworks Desirable: familiarity with CI/CD, containerization (Docker), or software engineering best practices Desirable: exposure to model governance, risk management, or MLOps practices Desirable: experience with PyTorch, TensorFlow, R, or similar technologies Desirable: Master ...

multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior developers and promote engineering best practices. What you can expect It won't be easy; in fact, it will be very hard. BUT, it will … sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements 5+ years of professional software engineering experience. Hands-on experience building and deploying AI applications in production environments. Solid understanding of relational databases. Experience with Git and collaborative ...

data & AI challenges using the the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs … This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable ...

looking for a Site Reliability Engineer to help build, scale and operate the platforms that power Curve\'s products and services. Working closely with engineering teams across the business, you\'ll support the infrastructure they rely on, improve reliability and security across our platforms, and champion best practices … culture of continuous improvement. You\'ll also play a key role in scaling Curve\'s platform for millions of customers, improving observability, accelerating engineering teams through automation, and ensuring our services remain secure, resilient and highly available. Why Join us? If you think all banks are the same ...