2,151 to 2,175 of 4,102 Software Engineering Jobs in London

delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six‐person Data Science team sits alongside Development, Engineering/DevOps & Platform Security, IT and the PMO, and works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery … technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting ...

tech-native consultancy delivering high-value-added IT expertise to the financial services industry. We specialize in complex Front Office environments where software engineering, quantitative logic, and production robustness intersect. Our consultants work closely with trading and research teams on real-time trading platforms, pricing frameworks, and analytical … Office R&D and Trading Technology environment , designing, maintaining, and evolving the ecosystem used by traders and quantitative teams. This role combines 70% Development & Engineering with 30% Production Support , giving you strong ownership of the platform. The environment is characterized by rapid iterations, direct interaction with traders, and high ...

seeking a Principal Engineer, AI, who can work across the full stack of the company AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows … requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate ...

dollars worth of decisions. Because we work at the intersection of metals industries and AI, we solve problems involving manufacturing operations, physics and chemistry, software engineering, AI, and product design. Our teams spend a lot of time on site, with the customer, understanding their problems first hand … office. This includes designers, engineers, and commercial colleagues. You will have: Strong engineering. At least a bachelor degree or equivalent professional experience in engineering, physics, mathematics, compsci, or similar. Strong programming. We are mostly language agnostic but would expect you to be fluent in Python, C/C++ ...

into critical business processes to improve customer experience, operational efficiency, and decision-making.You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical … intelligent automation tools * Making key architecture, tooling, and platform decisions across multiple initiatives * Evaluating build versus buy approaches and recommending scalable solutions * Establishing engineering standards, reusable frameworks, and best practices * Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability * Working closely with engineering, security, data ...

enhance risk and performance platforms that support equity risk modeling, investment analytics, and trading tools. What You'll Do Partner with quantitative research and software engineering teams to translate model specifications and investment strategies into clear technical requirements Manage the end-to-end requirements lifecycle for equity risk … fundamental and quantitative investing What You Bring Two to five years of sell-side experience At least two years of experience working with software development lifecycles and Agile methodologies Strong understanding of asset pricing and quantitative factor risk modeling workflows, including portfolio optimization, portfolio construction, and risk management fundamentals ...

About Arondite Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission‐critical decisions faster than their adversaries. We exist to ensure the UK and its allies out‐think … release process to ensure product releases are delivered on time, within scope, and to a high quality Maintaining and communicating release schedules across engineering, product, and stakeholders in the deployment team Running release planning and readiness reviews, ensuring all teams have clear acceptance criteria and ‘definition of done’ Tracking ...

specification and execution of tests for navigation and guidance algorithm evaluation Collaborate with interfacing disciplines such as Flight Mechanics, Aerodynamics, Embedded Hard- and Software, and Testing Contribute to, follow and analyse flight tests You should apply if you Hold a M.Sc. or PhD in Aeronautical Engineering, Mechanical Engineering … systems modelling Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally Possess solid software engineering skills, writing clean and well-structured code in Matlab and/or languages like Python, Rust, Java, or modern C++ Are passionate about ...

pricing models used in the investment banking industry Demonstrate strong C++ development experience including modern tooling such as Visual Studio 2019 or later Use software engineering fundamentals across data structures, algorithms testing debugging and distributed systems Work effectively across Windows and Linux environments with strong source control practices … such as CMake ninja and MS build Apply quant fundamentals across products market data pricing models and risk measures Specify implement delegate and verify software development tasks across a delivery backlog Use messaging and integration patterns such as protobuf where appropriate Python or Java experience Converging FICC Quant Analytics ...

pricing models used in the investment banking industry Demonstrate strong C++ development experience including modern tooling such as Visual Studio 2019 or later Use software engineering fundamentals across data structures, algorithms testing debugging and distributed systems Work effectively across Windows and Linux environments with strong source control practices … such as CMake ninja and MS build Apply quant fundamentals across products market data pricing models and risk measures Specify implement delegate and verify software development tasks across a delivery backlog Use messaging and integration patterns such as protobuf where appropriate Python & Java experience Converging FICC Quant Analytics ...

pruning, quantization, distributed training). Contribute to research and prototyping of novel computer vision algorithms. Deploy trained models into production environments in collaboration with software engineering teams. Document workflows and contribute to team knowledge-sharing. Qualifications MSc in Computer Vision , Machine Learning , Artificial Intelligence , or related field. 2+ … CNNs, and ViTs Experience with dataset preparation, augmentation, and preprocessing for computer vision. Strong knowledge of optimization techniques, hyperparameter tuning, and evaluation metrics. Good software engineering practices: version control (Git), code testing, reproducibility. Experience working with MLOps frameworks (e.g., MLflow, Weights & Biases, Kubeflow). Preferred Skills (nice ...

world and provide drivers with routes that reduce the time they will spend searching for a space near their destination. This is a software engineering IC role focused on data. We are looking for an expert in Python and distributed systems, who knows how to design, build … scalable. You will enhance our existing services through hands-on development and solve any complex performance bottlenecks, concurrency issues, and systemic bugs. Drive Engineering Excellence : Define standards for efficient, testable and reusable Python code across the organisation that ensure our services remain reliable, robust, and easy for other engineers ...

business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack – harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering … bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with the AI Platforms team to turn engagement patterns ...

feedback loops Contribute to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readiness Apply CI/CD and software engineering best practices to AI platform and agentic components Embed observability through logs, metrics and traces Partner with Cloud Infrastructure and Security teams … telemetry to improve reliability and performance Comfortable working in cloud environments Strong collaboration skills and the ability to influence platform standards and enable other engineering teams Pragmatic, engineering-led approach to responsible and ethical AI, focused on safety, reliability and trust Nice to have: Azure AI Foundry, Azure ...

developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms … level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with ...

across APIs, async data pipelines, databases, integrations, infrastructure, and web/mobile when needed. You'll work directly with the CTO and an experienced engineering team, alongside product, design and clinical teams, staying close to real user feedback. We want someone who thinks about what we should build … tested, well-observed codebase Take ownership beyond your immediate area: infra, database queries, CI/CD, mobile when needed Requirements 5+ years of professional software engineering experience Excellent Python engineering skills and strong fundamentals Experience building asynchronous systems or data-processing workflows with significant concurrent/background ...

engagements start because someone asked for a feature; the work is finding the outcome behind the request. Build the first implementation yourself . Working software on the customer's own documents and in their own environment if necessary, fast enough that the demo lands while the problem is still … build during the sales cycle is often what decides whether we win. What You'll Bring... The shortest description of the profile: a strong software engineer who has moved toward product thinking — you care about the problem, not the ticket — and who is unusually good with customers. You live ...

users consistently translate product insights into operational value. Internally, you’ll articulate recurring customer needs and pain points to the business, wrangle cross‐functional engineering and product teams to deliver on planned deliverables for your user base, and develop account strategies to strengthen our ongoing partnership with customers. … effectively synthesising and communicating feedback to the product team. Coordinate the specification of new or expanded features, involving deep collaboration with Altana’s Product & Engineering teams. Collaborate with our Implementation Engineering team to ensure successful delivery and work closely with our Sales Engineering team to identify ...

have an opportunity to employ your extensive skills while helping solve complex technical problems. You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with counterparties, exchanges, traders and developers to iron … problems that arise. What you’ll be working on: • Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. ...

have an opportunity to employ your extensive skills while helping solve complex technical problems. You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with counterparties, exchanges, traders and developers to iron … problems that arise. What you’ll be working on: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. ...

powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments . … multiple teams, overseeing the full AI solution lifecycle — from concept to production. Mentor and guide Lead AI Engineers and technical contributors to raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen , LangGraph , and other agentic ...

analysis and feedback loops Contribute to production AI reliability patterns, including latency monitoring, alerting, scaling considerations and operational readiness Apply CI/CD and software engineering best practices to AI platform and agentic components Embed observability by default so AI systems are measurable, debuggable and auditable through logs … using telemetry to improve reliability and performance Comfortable working in cloud environments Strong collaboration skills and ability to influence platform standards and enable other engineering teams Take a pragmatic, engineering-led approach to responsible and ethical AI, focusing on safety, reliability and trust Будет плюсом: Azure AI Foundry ...

Kindred Capital, Lux Capital and Obvious Ventures amongst others. The company is headquartered in London (UK) where we’ve established a cutting-edge antibody engineering facility. The company is staffed by a multidisciplinary team of more than 50 scientists and engineers. As an Automation Scientist at LabGenius, you will … will carry out preparation of assay‐ready plates and running of routine cell based assays as and when required. You will liaise with the Software Engineering and Data Science teams to translate wet lab processes into insights using automated data capture and processing pipelines. You will develop automation ...

detection tuning strategies Lead responses to security questionnaires, RFPs, and vendor risk reviews (SOC 2, ISO 27001, GDPR, HIPAA where relevant) Collaborate with Product, Engineering, Security Research, and customer teams to unblock deals and share field insights Build and evolve UK-specific technical sales playbooks, demo narratives, and positioning … Contribute to pre-sales resources and messaging that serve the broader go-to-market team What We're Looking For 5+ years in Sales Engineering, Solutions Architecture, or similar pre-sales technical role in B2B cybersecurity Comfortable leading technical conversations with security practitioners, architects, and CISOs in complex enterprise ...

with self-supervised learning, foundation models or large-scale model training. Experience writing production-quality or research-to-production Python code. Experience with modern software development workflows, including git, pull requests, code review, documentation and ticketing. Strong communication skills and ability to work across ML, data science, clinical science … engineering teams. Ability to be proactive, self-sufficient and rigorous when completing tasks. Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty. Even better ifyou have Experience with volumetric CT, medical imaging, DICOM, NIfTI or NRRD data. Experience ...