Talan

Talan is seeking a highly capable Solution Architect (Security and Integration) to lead and shape digital transformation initiatives across Energy, Public Sector and Financial sectors in the UK. You will act as a technical authority throughout the project lifecycle, guiding secure, scalable architectures and governance across engagements. As a Principal Consultant in the Digital unit, you will collaborate with clients and internal teams to deliver architecture that meets business objectives,

Solution Architect (SECURITY AND INTEGRATION) Job Description The Role Talan is recruiting an ambitious Solution Architect to work in the Digital business unit as a Principal Consultant. You will support our clients and stakeholders across the Energy, Public Sector and Financial sectors to design and deliver successful digital change initiatives. As a Principal Consultant, you will work with a team of experts who will support the solution, development, and management of technical solutions on behalf of Talan's clients. This is an exciting opportunity and is central to ensuring that Talan can deliver and manage the right technical solutions to clients in a fast changing environment. The role is also expected to act as a recognised technical authority, influencing senior client and stakeholder decisions, shaping architectural direction, and representing Talan as a trusted expert in secure digital transformation. Build strong relationships with stakeholders to understand business objectives, technology strategy and existing architectural landscapes, ensuring solution designs align with organisational goals. Lead the definition of solution architectures and provide clear, actionable recommendations to support technology enabled change and digital transformation initiatives. Act as the technical authority throughout the project lifecycle, providing leadership and guidance during design, implementation, deployment and transition into service. Establish and govern technical delivery frameworks, ensuring appropriate architecture governance, design assurance and decision making processes are in place. Lead architecture and design reviews, identifying and mitigating risks, dependencies and technical issues to support successful delivery outcomes. Promote architectural best practice and contribute to the continuous improvement of standards, methodologies and ways of working across the Digital business unit. Support business development activities through client engagement, solution shaping, bid responses and proposal development. Act as a recognised subject matter expert, providing strategic architecture advice to senior clients and internal stakeholders and influencing decisions on secure, scalable and future ready solutions. Coach and mentor colleagues, sharing specialist architecture knowledge and supporting capability development across the Digital business unit. Contribute to internal and external thought leadership, including architecture standards, reusable delivery assets, communities of practice, client briefings, whitepapers or knowledge sharing sessions. Identify and shape opportunities for innovation, including cloud modernisation, automation, AI enabled services, secure by design architecture and continuous improvement of delivery approaches. Specialist Architecture Capabilities In addition to core Solution Architecture expertise, candidates should demonstrate experience in one or more of the following specialist areas. SECURITY ARCHITECTURE Designing secure enterprise solutions including Identity and Access Management (IAM), cloud security, cryptographic controls, Public Key Infrastructure (PKI), Hardware Security Modules (HSMs) and information assurance within regulated environments. ENTERPRISE INTEGRATION ARCHITECTURE Designing and delivering complex integration solutions across applications, platforms and external partners, including secure interoperability, API led integration, data exchange and enterprise wide system integration. RISK ASSESSMENT AND INFORMATION ASSURANCE Leading technical risk assessments, security assurance activities and governance reviews to ensure solutions comply with organisational, regulatory and security requirements. Competitive salary plus bonus and excellent benefits package. Qualifications Requirements Proven experience designing and delivering solution architectures that support business and technology transformation programmes. Strong Solution Architecture and Enterprise Architecture expertise, including the design of secure, resilient and scalable digital solutions. Experience leading technical design activities, architecture workstreams and multidisciplinary delivery teams. Strong stakeholder management skills, with the ability to communicate effectively with both technical and non technical audiences. Experience establishing architecture governance, design assurance and technical review processes. Strong business analysis, requirements management and solution definition capabilities. Knowledge of architecture frameworks and methodologies such as TOGAF, Zachman or equivalent. Experience working within complex, regulated environments. Demonstrable experience supporting the full solution lifecycle, from discovery and design through to implementation and operational handover. Evidence of operating as a trusted expert or strategic advisor, with the ability to influence senior stakeholders and guide clients through complex technology and architecture decisions. Experience mentoring, coaching or developing colleagues, including sharing expertise, raising capability and supporting the development of future experts. Experience contributing to thought leadership, practice development, technical communities, reusable assets or external market positioning in a specialist area of architecture. Desirable Skills and Qualifications Experience within the Energy, Utilities, Public Sector, Healthcare or other highly regulated industries. Knowledge of energy market systems, data architecture and regulatory frameworks. Cloud architecture and cloud security expertise, particularly within Microsoft Azure environments. Identity and Access Management (IAM), PKI and cryptographic solutions. Technology risk management, information assurance and security governance. Large scale digital transformation, systems integration and modernisation programmes. Pre sales consultancy, bid support and solution shaping experience. Experience working within Agile, DevOps and product led delivery environments. Experience with low/no code automation platforms. Relevant professional certifications such as TOGAF, SABSA, CISSP, Azure Solutions Architect, or equivalent. Experience representing an organisation externally through client advisory work, industry forums, conference participation, publications, whitepapers or specialist networks. Track record of identifying commercial opportunities, shaping propositions, supporting strategic bids and contributing to the growth of a digital, architecture or technology consulting practice. Upon employment, employees should also have a sound awareness of the company's Information, Quality, Environmental and Energy Management Systems. Additional Information Diversity, Equity and Inclusion commitments Our commitment to sustainable and inclusive growth. As a socially responsible leader, Talan continually invests in sustainable growth, addressing both social and environmental challenges. We achieve this while preserving our core values and ensuring operational excellence for our clients. This commitment to excellence extends across all aspects of our Corporate Social Responsibility initiatives. For the past three years, through our 360 approach to social and environmental responsibility, we have been driving significant change and strengthening these principles within our corporate DNA. The solid foundations we've been building since 2021 are enabling our organisation to transform in a sustainable and positive manner. Disability Inclusion We recognise that the diversity of legislative and cultural frameworks for supporting individuals with disabilities requires the implementation of specific policies and a unique approach in each country where the Group operates. Talan is committed to strengthening its involvement in promoting the inclusion of people with disabilities by implementing dedicated support systems and raising awareness among our teams on these issues. What We Offer 25 days annual leave, plus bank holidays Reward and recognition schemes Flexible working Private Bupa healthcare (subsidised) Life Assurance (up to 4 times annual salary) Matched pension contributions Season Ticket Loan Cycle to work scheme Buy and Sell annual leave Reimbursement of eye test and up to £50 towards glasses or contacts Corporate gym rates Employee Assistance Programme Summer and Christmas parties, along with monthly

Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice grows, we are looking for a capable, hands on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval augmented generation, and agent based applications). You enjoy building, you write dependable code, and you turn well defined designs into working software. This is a delivery focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems, You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day to day guidance to graduate and junior resources working alongside you. Required skills & experience: Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues. Develop GenAI and LLM based features (prompting, retrieval augmented generation, and simple agentic workflows) alongside more traditional ML models. Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them. Translate solution designs into clean, well documented, production minded code. Contribute to model evaluation, testing, and monitoring. Support and guide very junior and graduate resources, reviewing their work and helping them grow. Help peers unblock technical problems and share knowledge across the team. Take part in client and team discussions and communicate your work clearly. Qualifications To qualify for this role, you must have: Typically, 2-4 years' experience in data science, machine learning, or AI engineering. Solid grounding in core data science and machine learning. Practical experience with LLMs and generative AI, including prompting and RAG. Familiarity with how AI agents are built and orchestrated. Strong Python and common data/ML libraries; good engineering habits. Clear communicator and collaborative team player. Ideally, you'll also have, but not essential: Exposure to cloud AI platforms, Azure a plus. Experience practicing MLOps and LLMOps. Early experience mentoring junior colleagues. Interest in consulting and client facing delivery. You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from homefor extended periods. Eligible to work in the UK without restriction. Additional Information Compensation & Benefits Package: BDP Plus - A reward programme whereby you accrue points to trade against a 3 month paid sabbatical or cash equivalent. 25 days holiday + bank holidays. 5 days holiday buy/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.

Talan is seeking an AI Engineer to join their growing practice in the UK. This role involves building and deploying AI solutions using modern machine-learning techniques and supporting junior team members. Candidates should have 2-4 years of experience in data science or AI engineering and a strong command of Python and relevant libraries. This position offers a comprehensive benefits package, including generous holiday and private medical insurance, while engaging in impactful client projects.

Talan is looking for a skilled C# Developer with REACT experience to join their delivery teams focusing on Front Office platforms. You will design and enhance regulatory and sales enablement solutions in fast-paced trading environments. This role requires strong collaboration with stakeholders and contributions across the software development lifecycle, including building high-performance applications and RESTful APIs. Ideal for candidates experienced in investment banking or capital markets.

Talan is seeking a skilledC# Developer with REACT experienceto join our delivery teams working onFront Office platforms within Global Markets environments. In this role, you will design, build, and enhanceregulatory, alerting, and sales enablement solutions, supporting front-office users in fast-paced trading environments. You will work at the intersection ofbusiness and technology, delivering high-performance applications that directly impact sales and trading activities. You will contribute to the development offront-office sales and trading toolswithin a Global Markets ecosystem, supporting a range of business-critical applications. Operating in adistributed agile environment, you will collaborate with: Front office stakeholders (sales & trading) Application support and production teams QA and testing teams Distributed delivery teams across Europe and globally This role offers exposure tocomplex, real-time systemswithin capital markets. Key Responsibilities Design, develop and maintainfront-office applications, components and utilities Contribute across the fullsoftware development lifecycle(analysis, design, development, testing, deployment, and support) Build and deliverhigh-performance, scalable applications DevelopRESTful APIs and modern UI applications using React Engage directly withbusiness stakeholdersto understand requirements and deliver value-driven solutions Collaborate with production support teams to ensuresmooth releases and system stability Providethird-line supportand assist with troubleshooting production incidents Contribute tocode reviews and continuous improvement initiatives Skills & Experience (Required) Experience buildingweb-based applications and RESTful APIs Solid experience withrelational databases and SQL Strong understanding ofapplication performance and optimisation Excellent communication skills, both written and verbal Experience working inagile, collaborative environments Experience withininvestment banking or capital markets environments Knowledge offront office systems (FX, Rates, Credit, or derivatives) Experience withmulti-threaded or distributed systems Familiarity withCI/CD tools (e.g. Jenkins, TeamCity) and deployment tools (e.g. Ansible) Strong analytical and problem-solving skills

AI Architect / Engineer (Agentic AI & LLM Architecture) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM powered applications, and the production infrastructure that makes them dependable at enterprise scale. You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre sales conversations, solution blueprints, and the technical standards that define how our practice builds. This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, prototype where it accelerates a decision, and set a credible technical example for the engineers and data scientists you guide. Required skills & experience Lead end to end solution architecture for AI and LLM based systems, spanning data, integration, infrastructure, and deployment. Design agentic architectures and multi agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably. Shape early stage engagements (scoping, solutioning, estimation, and pre sales) turning client ambition into deliverable technical plans. Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery. Define LLM integration and prompting strategies, including RAG, fine tuning, evaluation, and guard railing approaches. Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready. Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice. Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset. Qualifications To qualify for this role, you must have: Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. Proven MLOps/LLMOps capability - CI/CD for models, monitoring, evaluation, and cost optimisation. Hands on software engineering background (Python and modern tooling) underpinning your architectural decisions. Comfort managing multiple engagements at once, with pragmatic judgement on trade offs and delivery risk. Ideally, you'll also have, but not essential: Experience in consulting, professional services, or pre sales environments. Exposure to enterprise scale, regulated AI deployments (financial services, public sector, healthcare). Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques. Relevant cloud or AI certifications. You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from home for extended periods. Eligible to work in the UK without restriction. Additional Information Compensation & Benefits Package: BDP Plus - A reward programme whereby you accrue points to trade against a 3 month paid sabbatical or cash equivalent. 25 days holiday + bank holidays. 5 days holiday buy/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant. You will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice leading technical figure.

Talan is seeking an experienced AI Architect / Engineer to lead the design and delivery of next-generation AI solutions across the UK. You will act as a senior technical authority, shaping robust deployable architectures for AI projects. The ideal candidate will have over 5 years of experience, deep expertise in LLMs, and a strong background in software engineering. This hands-on role includes a comprehensive compensation package and the opportunity to shape technical practices.

Talan is seeking a Lead Data Scientist to oversee AI engagements and lead a skilled team of data scientists across the UK. In this pivotal role, you will ensure delivery of high-quality AI solutions while driving innovation. The ideal candidate has a minimum of 5 years in data science with expertise in classical ML and modern LLMs. You will mentor junior team members and engage in client conversations while shaping the best practices across the AI lifecycle. Opportunities for professional growth are ample.

Lead Data Scientist (Classical ML, LLMs & AI Agents) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both. You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing. This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot. Required skills & experience: Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes. Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands. Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability. Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders. Ensure best practice across the AI lifecycle - experimentation, evaluation, testing, deployment, and monitoring. Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design. Support pre-sales and client discussions with credible technical input and realistic estimation. Champion reproducibility, model governance, and responsible practice in everyday delivery. Qualifications To qualify for this role, you must have: Minimum 5 years in data science or AI delivery, including hands on leadership of technical teams or workstreams. Strong foundations in machine learning and statistics, with demonstrable production experience. Practical experience with LLMs and generative AI - prompting, RAG, fine tuning, and evaluation. Exposure to AI agents and orchestration frameworks, and an appetite to deepen it. Proficiency in Python and the modern data / ML stack; sound data engineering instincts. Excellent communication and stakeholder skills, ideally in client facing or consulting settings. Ideally, you'll also have, but not essential: Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric). Experience supporting business development or pre-sales. Domain depth in a regulated or data rich industry. Contributions to open source, publications, or a visible professional profile. You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from home for extended periods. Eligible to work in the UK without restriction. Additional Information Compensation & Benefits Package: BDP Plus - A reward programme whereby you accrue points to trade against a 3 month paid sabbatical or cash equivalent. 25 days holiday + bank holidays. 5 days holiday buy/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.

Talan is searching for a skilled Java Developer with React experience to enhance their Front Office solutions in Global Markets. You will be key in designing regulatory and sales enablement platforms while collaborating closely with business stakeholders. This role involves developing high-impact, real-time applications in a fast-paced environment, working cross-functionally in a distributed, agile delivery model. Strong experience in server-side Java and web-based applications is essential.

Talan is looking for a talented Java Developer with React experience to join our team delivering cutting edge Front Office solutions within Global Markets environments. You will play a key role in designing and enhancing regulatory, alerting, and sales enablement platforms, directly supporting front office users and business stakeholders across capital markets. This is an exciting opportunity to work on high impact, real time applications in complex trading environments, collaborating with both business and technical teams to drive innovation and performance. You will be part of a Front Office technology ecosystem supporting Global Markets activities, working on advanced sales and trading tools used by front office teams. The role operates within a distributed, agile delivery model, collaborating closely with: Business stakeholders (sales & trading) Application support teams QA and testing teams Distributed development teams across Europe and globally You will contribute to the development of modern, scalable applications used in fast paced, business critical environments. Key Responsibilities Design, develop and maintain front office sales tools and associated applications Contribute across the full software development lifecycle (analysis, design, development, testing, deployment, and support) Build and enhance high performance, low latency applications Develop RESTful APIs and modern web interfaces (React) Collaborate closely with business stakeholders to understand requirements and deliver value driven solutions Work alongside production support teams to ensure smooth releases and operational stability Provide 3rd line support and assist in troubleshooting production issues Participate in code reviews and continuous improvement initiatives Skills & Experience (Required) Strong experience in Java (server side development) Experience building web based applications and REST APIs Good understanding of application performance and optimisation Excellent communication skills, both written and verbal Ability to operate effectively in agile, collaborative environments Experience with relational databases and SQL Exposure to investment banking or capital markets environments Experience with multi threaded and distributed systems Familiarity with CI/CD tools (Jenkins, TeamCity) and deployment tools (Ansible) Knowledge of front office trading systems (FX, Rates, Credit, or derivatives) Experience with monitoring and observability tools Strong problem solving mindset with a proactive approach

Talan is seeking a skilled C# .NET Developer with REACT experienceto join our delivery teams working on Front Office platforms within Global Markets environments. In this role, you will design, build, and enhance regulatory, alerting, and sales enablement solutions, supporting front-office users in fast-paced trading environments. You will work at the intersection of business and technology, delivering high-performance applications that directly impact sales and trading activities. You will contribute to the development of front-office sales and trading toolswithin a Global Markets ecosystem, supporting a range of business-critical applications. Operating in a distributed agile environment, you will collaborate with: Front office stakeholders (sales & trading) Application support and production teams QA and testing teams Distributed delivery teams across Europe and globally This role offers exposure to complex, real-time systemswithin capital markets. Key Responsibilities Design, develop and maintain front-office applications, components and utilities Contribute across the full software development lifecycle(analysis, design, development, testing, deployment, and support) Build and deliver high-performance, scalable applications Develop RESTful APIs and modern UI applications using React Engage directly with business stakeholdersto understand requirements and deliver value-driven solutions Collaborate with production support teams to ensure smooth releases and system stability Provide third-line supportand assist with troubleshooting production incidents Contribute to code reviews and continuous improvement initiatives Skills & Experience (Required) Strong development experience in C# / .NET & REACT (server-side and/or full-stack) Experience building web-based applications and RESTful APIs Solid experience with relational databases and SQL Strong understanding of application performance and optimisation Excellent communication skills, both written and verbal Experience working in agile, collaborative environments Experience within investment banking or capital markets environments Knowledge of front office systems (FX, Rates, Credit, or derivatives) Experience with multi-threaded or distributed systems Familiarity with CI/CD tools (e.g. Jenkins, TeamCity) and deployment tools (e.g. Ansible) Strong analytical and problem-solving skills

Talan is seeking a skilled C# .NET Developer with REACT experience to join our delivery teams working on Front Office platforms within Global Markets environments. In this role, you will design, build, and enhance regulatory, alerting, and sales enablement solutions, supporting front-office users in fast-paced trading environments. You will collaborate with front office stakeholders and application support teams, contributing to the development of business-critical applications in a distributed agile environment.