1,101 to 1,125 of 4,051 Software Engineering Jobs in London

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 ...

lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You\'ll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product … design reviews and architecture decisions for AI workstreams. Mentor and coach more junior engineers through pair programming, code review, and design feedback. Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability. Influence cross-team decisions on how AI capabilities integrate ...

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 ...

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. Required Qualifications 5+ years of professional software engineering experience. Hands-on experience building and deploying AI applications in production environments. ...

About the Client Join our client, a leading digital consultancy that partners with major organisations to drive digital transformation and innovation. Specialising in cloud, engineering, and experience design, they help businesses accelerate growth through cutting-edge technology solutions. With a strong focus on Agile delivery and a people-first … high-impact projects in a collaborative and forward-thinking environment. About the Role This is an exciting opportunity to join a growing Cloud Engineering team, working as part of award-winning, multidisciplinary delivery teams to design and deliver innovative digital solutions for a range of clients. As a Cloud ...

beautiful modern office, daily catered lunches, and more. As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production-critical infrastructure and data pipelines. At the company, many SREs serve together on a Production Operations … team tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. the company SREs work on important real-world problems and collaborate with passionate and talented colleagues in an empowering, results-driven environment. This role ...

scale AI and machine learning solutions. You'll play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently. What you'll be doing: Building and managing cloud-native infrastructure to support … managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building ...

presentations. Required Qualifications, Capabilities and Skills Experience leading teams to deliver production machine learning solutions. Proficiency in Python and SQL and familiarity with good software engineering practices. Excellent written and verbal communication. Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. … neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine‐tuning and continuous learning techniques. Experience in prompt engineering techniques and state‐of‐the‐art LLM architectures. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they ...

Gateway, and EventBridge. Experience in integrating multiple systems and data sources. Strong understanding of DevOps principles and best practices. Degree in Computer Science, Software Engineering, or related field. Desirable Skills: Experience with IoT or smart building platforms. Knowledge of AWS IoT services and real-time data processing architectures. ...

individuals who are passionate about technology and can demonstrate both strong technical capability and an eagerness to learn. Technical Skills Proven experience building software solutions in a commercial, academic, or project environment. Good experience with library-appropriate, strongly typed languages such as C++, Java, C#, Go or Rust, along … designing, developing, and consuming APIs across both backend services and user-facing applications. Understanding of event-driven architectures and modern distributed systems. Familiarity with software development best practices, including testing, code quality, maintainability, and secure development principles. Ability to explain architectural decisions, technology choices, and how solutions were designed ...

rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, causal inference, and principled handling of missing data Data Engineering & Reproducibility Define and champion standards for scalable, reproducible, and well-documented analytical pipelines and codebases using Python, R, SQL, and cloud platforms Establish … quality frameworks to ensure fitness-for-purpose of diverse data sources across programs Drive adoption of scalable, automated analytical processes and best-in-class software engineering practices across the team Leadership, Mentorship & Cross-Functional Influence Manage and develop a small team of data scientists, building capabilities and fostering ...

libraries for company-wide project use Provide training, mentoring, and onboarding support for new frontend engineers Act as the go-to authority for frontend software engineering within the team Требования Demonstrated experience building scalable, maintainable, and well-tested web applications with React High proficiency in ES6 JavaScript, HTML ...

flow.Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities.Collaborate with product managers, data scientists, and other engineering teams to define agent requirements and deliver impactful solutions.Monitor, evaluate, and fine-tune deployed AI agents, ensuring high accuracy, reliability, and scalability.Contribute … algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.Excellent problem ...

Description: Job Title: Feature Lead - Technology Corporate Title: Vice President Location: Bromley Responsibilities: Experience as a Lead software engineer building eTrading solutions – software used in market connectivity, price distribution or RFQ engines. Must understand and have experience building out D2D, D2C and bilateral eTrading connectivity. Highly proficient … desks, strategists & quants for L3 support on production trading systems as well as requirements gathering/solution design for new build. Experience growing eTrading engineering talent In-depth knowledge of Credit or Rates eTrading workflows and market structure Proficiency in debugging/profiling JDK based languages (Java/Scala ...

design, deploy, and maintain mission-critical, sovereign cloud infrastructure for sensitive national security operations. You will operate at the intersection of modern cloud-native software engineering and strict defense compliancebuilding automated, air-gapped platforms using Google Distributed Cloud air-gapped (GDC air-gapped) and GKE Enterprise capable … Enterprise . Hands-on experience with container security, Service Mesh (Istio), and admission controllers (OPA/Gatekeeper or Kyverno). Experience managing air-gapped software deployments where continuous internet connectivity is absent. Desirable Qualifications Certifications: GCP Professional Cloud Architect, GCP Professional Cloud Security Engineer, or Certified Kubernetes Administrator ...

fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits … fundamentals and the ability to apply them pragmatically: Solid programming ability (Python or similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best practices ...

capability of those around you. In this role as the Senior Machine Learning Engineer, you will Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managers Design and deliver machine learning models at scale that create measurable impact for the business … machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale Partner with and influence stakeholders across the business to propose innovative data products that ...

role in rollouts of frontier AI capabilities, ensuring smooth integration with existing IT infrastructure and processes. Accelerate adoption - Work shoulder‐to‐shoulder with client engineering and product teams to drive meaningful AI adoption, removing blockers and closing skill gaps in real time. Identify patterns and scale - Recognise repeatable deployment … Accenture's standards in every client interaction. Qualification Experience 4‐6 years of experience in a technical role with client‐facing or consulting exposure – Software Engineer, Solutions Engineer, technical consultant, or equivalent. Experience contributing to the delivery of production applications with real business impact, ideally in enterprise environments. Practical ...

portfolio exposures. Qualifications Education Undergraduate degree with significant quantitative research experience or MSc/MEng/PhD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills Highly proficient in programming (R/Python/Java) and the use of modern quantitative financial … libraries and toolkits. Strong SQL skills are preferred. Familiarity with source control tooling (Git) and software engineering best practices is highly desirable. Quantitative & Market Knowledge Strong understanding of equity market structure and investment processes, with expertise in cross-sectional and time-series modelling, factor research, and the application ...

capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.This is a Lead Software Engineering position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.Since ...

data integrity. Strong React, Node.js and JavaScript/TypeScript experience. Experience with Azure Web Apps and taking applications through to production. Strong understanding of software engineering fundamentals, with the ability to independently understand, challenge, debug and improve an existing solution. Excellent stakeholder-facing and communication skills, with experience ...

Make sure our AI systems scale, stay reliable, remain secure, and meet financial regulation objectives Work closely with the platform’s core architecture and engineering leads to keep the agentic layer and the rest of the system cohesive, not two products bolted together Shape the AI architecture … early decisions will define how agents behave across the whole system for years to come. Qualifications 8+ years’ experience in AI/ML or software engineering, including designing and shipping agentic systems into production, not just prototypes Experience architecting agent governance for high-stakes domains: guardrails, autonomy levels ...