1,076 to 1,100 of 4,032 Software Engineering Jobs in London

seeking an engineer/researcher to join the CRB desk within UBS Global Markets.This is a front-office role at the intersection of software engineering, data science, quantitative research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk … research platform. Apply data science and statistical techniques to improve decision-making, workflow automation, monitoring, and analytics. Design, implement, and maintain production-grade software solutions used by the desk on a daily basis. Work with large datasets to generate insights, improve operational efficiency, and support research initiatives. Develop monitoring ...

next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell’s global family of indexes and requires advanced engineering, high precision data processing, and deep collaboration across global teams.This is a deeply technical role focused on designing, building, integrating, and operationalising modern software … driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence in a high performance, data intensive environment.**Key Responsibilities** Lead projects end-to-end through requirements, design, development, testing, deployment, and operations.**Required Experience & Skills ...

systems and pipelines Stay hands‐on (coding, reviews, debugging, deployments) Mentor a small team of ML engineers (2–3 people initially) Establish ML engineering & MLOps best practices Improve deployment, monitoring, and model lifecycle management Collaborate with DS, Risk, Product, and Engineering Help shape roadmap and hiring Skills, Knowledge … Expertise Strong background as an ML Engineer (not purely DS/research) Experience deploying and running ML models in production Solid software engineering skills (Python, APIs, systems) Good understanding of MLOps stack (CI/CD, monitoring, pipelines) Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes. Cloud ...

create more effective, targeted medicines for everybody. Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime - from … Site Reliability Engineers (initially 3 people) Identifying the highest-value opportunities to improve reliability across our platforms Defining standards, patterns and tooling that help engineering teams to build and operate reliable services Developing services and capabilities that reduce operational toil and improve engineering effectiveness Partnering with product ...

Lead the design and delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files, webhooks and event streams; Shape the engineering approach across Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow, Terraform and infrastructure‐as‐code … style with an interest in coachingothers,sharingknowledgeandraisingengineeringstandards Ownership, sound judgementand a delivery mindset with a focus on quality, security and risk Nicetohave:Adegreeorequivalentexperienceincomputerscience,dataengineering,softwareengineering,mathematics, statisticsorarelatedtechnicaldiscipline,GoogleCloudordbtcertifications, experience in professionalservices, finance, accounting, legal, tax, audit or another regulatedenvironment Условия: Private medical cover, pension matching and enhanced parental leave Career ...

ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments Lead end‐to‐end solution delivery, from discovery … Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience ...

safety, governance, and responsible AI implementation across deployments Create reusable solution patterns, accelerators, and documentation to improve delivery efficiency Collaborate with cross-functional teams (engineering, platform, support, product) to align solution design and execution Lead debugging and troubleshooting efforts across production systems, ensuring timely resolution Mentor and guide … engineers, contributing to team capability building Skill Requirements Strong expertise in Python and software engineering best practices Deep understanding of APIs, microservices, and distributed system integration Hands-on experience with cloud platforms (Azure/AWS/GCP) and deployment architectures Proven experience working with Generative AI/ ...

What You’ll Do: CoreWeave’s Physical AI Engineering team builds and scales the core platform powering advanced engineering simulation and AI workflows. Our ambition is to become the super‐intelligent AI test lab for the engineering industry, delivering the performant, reliable, and scalable foundation trusted … world’s largest engineering companies. About the role: The Staff Frontend Engineer will own and evolve the Physical AI platform’s product surface: the data‐heavy, workflow‐centric web experience where engineers design experiments, compare runs, interact with agents, and convert complex test data into decisions. Operating at Staff ...

science and the bio economy You will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. … role in delivery projects, collaborating with partners, and through conference attendance. About You We are seeking a experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations/graphs, and have ...

Meet the Team Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application. Our technology powers industry-leading products like Webex Meetings, Webex Calling, and Webex Contact … continuous improvement. Minimum Qualifications: Analytical Degree or equivalent experience : Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Electronic/Software Engineering). Work experience : 8+ Years demonstrated experience in software development. Coding Aptitude : Extensive architecture and programming experience and the willingness to learn ...

foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. Requirements 5+ years of software engineering experience, with a strong focus on infrastructure or platform engineering. Strong production-level Python, including testing, typing, packaging, and dependency management; Bash … dependency/supply-chain risks. Strong troubleshooting skills and experience diagnosing complex distributed system issues. Good communication and documentation skills; ability to collaborate with engineering and non-technical stakeholders. English B2+. Personal Skills Adaptability and strong problem-solving mindset. Ownership and attention to detail. Clear communication and effective cross ...

workstream and sets the direction other engineers build to. You will make systems-level design decisions, write production-grade code, and own the hard engineering that makes agentic AI reliable in demanding production environments, including secure, on-premises and offline deployments, from architecture through to deployment. That ownership … environments we deploy into, reliability and trust matter more than speed to market. Frontier here means dependable, not experimental. You need the engineering depth to build systems that keep working under real-world conditions, whether that is heavy load, degraded connectivity or a fully offline environment, and the judgement ...

Kinsworth, we aren’t just building software; we’re building a product customers love and a successful business. To achieve this, we operate at pace, we're big believers in autonomous teams and iterative development. We're crazy about continuous improvement and knowledge sharing, and we want people … financial services industry and regulatory environments Building and maintaining exceptional customer relationships through team excellence Zero-to-one function building — creating product delivery frameworks, engineering performance systems, and product delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build ...

March 2025. Learn more at www.coreweave.com. We're proud to be a Living Wage accredited Employer. What You'll Do CoreWeave’s Physical AI Engineering team builds and scales the core platform powering advanced engineering simulation and AI workflows. Our ambition is to become the super-intelligent … test lab for the engineering industry, delivering the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. About The Role The Staff Frontend Engineer will own and evolve the Physical AI platform’s product surface: the data-heavy, workflow-centric web experience where engineers ...

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 ...

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 ...

# 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 ...

back-office use cases. Example: website and mobile application chat bots Deep AWS expertise, including: AWS Serverless technologies AWS Bedrock Cloud-native architecture Strong software engineering and application architecture background. Experience defining technical strategy, governance, standards and best practice across complex organisations. Knowledge of modern engineering practices ...

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 ...

updates to senior stakeholders on progress of business deliveries. Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Promptly investigate and fix issues and ensure they do not resurface in the future. … future. Make sure our releases happen with zero downtime for our end-users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including ...

enables both the decisions we make internally and the data-driven features our customers rely on. Working with the Data, ML, Platform, and Product Engineering teams, you will keep ingestion, modelling, and orchestration dependable, and define the modelling, testing, and documentation standards the data function depends on. You will … Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform so it serves analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer ...