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Director, Agentic Architecture and Development Location: Europe – Home-based / Hybrid At IQVIA™, we are redefining clinical development through advanced analytics, cutting-edge technology, and deep scientific expertise. Within our Research & Development Solutions (RDS) organization, we are pioneering the integration of agentic systems—autonomous AI agents that can reason, plan, act, and learn—to streamline clinical trial workflows and accelerate the delivery of new therapies. By embedding these capabilities into our services for customers and clinical sites, we are strengthening our leadership in AI-driven clinical research and helping bring life-changing treatments to patients faster and more efficiently. We are seeking a senior technology leader to serve as Director of Agentic Architecture and Development. This pivotal role will shape how autonomous agents are architected, developed, and deployed across IQVIA’s RDS technology ecosystem. The ideal candidate will have a strong foundation in engineering—particularly in AI/ML systems—and have transitioned into architectural leadership. They will bring hands-on experience solving complex technical challenges and driving agentic architecture initiatives within engineering teams. Architectural Leadership • Define and evolve the agentic architecture framework across RDS workflows., • Collaborate with GTO’s Enterprise and Solution Architects to ensure consistency and compliance with enterprise standards., • Ensure architectural decisions support scalability, security, maintainability, and performance. Agent Development Oversight • Provide technical leadership for the development of agentic workflows across RDS squads., • Guide engineering teams on best practices for building, testing, and deploying intelligent agents., • Evaluate and recommend tools, frameworks, and platforms for agent development. Cross-Functional Collaboration • Act as the key liaison between RDS squads and GTO, translating squad-level needs into enterprise architecture decisions., • Facilitate feedback loops from development teams to influence infrastructure and platform strategy. Ecosystem Integration • Assess the current RDS technology ecosystem for integration points and enhancements to support agentic systems., • Develop a roadmap for scalable agent deployment within existing infrastructure., • Identify and mitigate risks or gaps in the tech stack related to agentic adoption. Technology Strategy • Advise on the selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms., • Influence the long-term direction of RDS’s technical architecture in line with agentic advancements and market trends. Talent and Team Enablement • Mentor and upskill internal teams on agentic systems, architecture principles, and development methodologies., • Degree in Computer Science, Engineering, or a related field (advanced degrees preferred). Professional Background • Proven experience in engineering roles focused on AI/ML systems, with a transition into architectural leadership., • Demonstrated ability to solve complex technical problems in real-world settings., • Experience leading architecture initiatives embedded within engineering teams (not solely in consulting capacities)., • Track record of designing and implementing distributed systems and agentic workflows. Technical Skills • Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman)., • Familiarity with agentic concepts, LLMs, reasoning engines, planning systems, and orchestration platforms (e.g., LangChain, AutoGen, CrewAI)., • Strong grasp of DevOps, CI/CD, cloud platforms (Azure, AWS, GCP), and containerization., • Knowledge of data architecture, API design, and integration patterns. Soft Skills • Excellent communication and stakeholder management., • Strategic thinker with a strong bias for execution. #RDSITAI IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at ___ IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

Kirtana consulting is looking for Javacard with Cryptography developer for 6months rolling contract in London. Job description: JOB TITLE: Developer (Javacard, cryptography) Below is the required Skillset. Experience/knowledge on below highlighted points is a must. o Bachelor's degree in computer science/engineering or 5+ years of equivalent experience in related disciplines o Hands on Application development experience within JavaCard/HCE domain. (MUST) o Working experience with cryptographic algorithms like 3DES, AES, RSA, ECC etc. (MUST) o Deep understanding of Global Platform card content management and key management processes (MUST) o Knowledge of EMV Common Personalization Specification and processes. (MUST) o Nice to have working knowledge of different Key Management principles and associated processes o Nice to have some Android and iOS development exposure in light of Payment processing o Demonstrated technical capabilities and ability to work collaboratively and effectively with a range of stakeholders o Worked in a product company o Attention to detail and strong organization skills o Experience working in high-performing development teams using agile methodologies and tools o Experience in multi-threaded programming o Proven record of design and development of mobile applications in an Enterprise setting is a plus Please note these are very niche skillsets in payment domain for Applet coding and require knowledge of EMV, Java card (not same as Java) and cryptography.

About the Company Our client has an extensive and impressive track record of successfully running Quant trading strategies for over a decade, they spun out as a hedge fund and now operate globally. They are a highly interdisciplinary firm, operating around the intersection of trading, quant modelling and technology. Their trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. About the Role Using the firms automated trading framework to research and apply strategies. Responsibilities • Using progressive statistical approaches to analyse data and ascertain opportunities for trading., • To build upon and develop strong understanding of market structures of the various exchanges and asset classes., • Pre market – checking that all required data and processes are ready., • During market – sporadically monitoring behaviour and performance of strategies. Qualifications • Quantitative background - including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills • Programming proficiency with at least one major programming or scripting language (Python, C++, and R)., • Strong communication skills and ability to work well with colleagues across multiple regions., • Ability to perform well under pressure., • Detail orientated.

🚀 Are you a Graduate Data Scientist ready to kickstart your career in data? We’re looking for a curious and motivated Graduate Data Scientist to join our hybrid-working team in London. You’ll help us turn raw data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques to solve business problems 🛠 Assist in building and maintaining predictive models and analytical tools 🤝 Collaborate with data engineers, analysts, and business stakeholders to deliver impactful solutions 📝 Communicate findings clearly through reports, visualisations, and presentations What’s in it for you? 📈 Career Growth – Learn and develop your technical expertise with mentoring and training opportunities. ⚙ Hands-On Experience – Gain practical exposure to real-world data challenges and modern tools. 💡 Impactful Work – See your analysis contribute to decision-making and business strategy. 🤝 Supportive Team – Work alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: • A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field, • Familiarity with Python, R, or another programming language for data analysis, • Basic knowledge of machine learning concepts and statistical methods, • Strong analytical and problem-solving skills, • Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: • Experience with SQL or databases, • Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn), • Understanding of cloud platforms (AWS, GCP, or Azure), • Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your skills — we’d love to hear from you. 👉 Apply now!

My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in alpha research. Responsibilities • Conduct original quantitative alpha signal research, • Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code, • Evaluate new datasets for alpha potential, • Follow, digest, analyze and improve upon the latest academic research Desirable Candidates • 2+ years of research experience in Equities., • Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline., • Programming in any of the following: Python, C++, or R., • Demonstrated ability to learn and apply new methodologies to alpha generation., • Ability to work both independently and collaboratively within a team.

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: Integration into Management Solution's specialist Technology unit, focused on the digital transformation of our clients. Involvement in projects for the conceptualization and implementation of advanced technological solutions to complex problems that require specific and in-depth knowledge of the client's business, in the following areas: • Implementation of specialist technologies: architecture definition, Big Data, solutions development and tool implementation., • IT strategy and governance: strategic IT plans, IT servicing, Project Management Office (PMO), transformation, organization and efficiency., • Risk and regulatory management: cybersecurity, data quality and data governance. We look for candidates like you • Recent graduates or final year students from disciplines relating to Computer Science, Telecom or other IT fields., • Postgraduate studies and/or specialized courses are an asset., • Advanced user of programming languages, databases and software engineering techniques., • Solid academic record., • Strong computer skills., • Knowledge of other languages is desirable., • Get-up-and-go attitude, maturity, responsibility and strong work ethic., • Strong ability to learn quickly., • Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: • Working in the highest-profile consulting projects in the industry, • for the largest companies, leaders of their respective markets,, • alongside top industry management as they face challenges at the national and global level,, • as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. Training • Ongoing training plan, with approximately 10% of business turnover spent on training., • Specialist knowledge courses, external expert courses, professional skills courses and language courses., • Last year our staff as a whole received over 375,000 hours of training spanning more than 150 courses. Career plan • Clearly defined career plan., • Internal promotion based solely on merit., • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. Complementary activities • University : we maintain a close relationship with the world’s most prestigious universities., • Social Action: we organize more than 30 community support activities., • Sports Club: internal and external tournaments.

Title: Senior Quantitative Researcher / Sub-Portfolio Manager Location: New York / London Team: Systematic Trading Strategies About the Role: Seeking a highly skilled and experienced Senior Quantitative Researcher or Sub-Portfolio Manager to join a systematic trading team. The successful candidate will play a key role in the full lifecycle of alpha research and strategy development, with the potential to manage risk capital independently or transition into a lead PM role over time. Key Responsibilities: • Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes, • Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate, • Develop and test robust portfolio construction, execution, and risk management models, • Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities, • Take ownership of strategy performance and contribute to the team’s overall P&L, • 5+ years of experience in quantitative research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank, • Proven track record of alpha generation or contribution to profitable strategies, • Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques, • Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure, • Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics), • Excellent communication skills and ability to work in a collaborative, performance-driven environment

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields., • Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance or similar., • Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.)., • Solid academic record., • Strong computer skills., • Knowledge of other languages is desirable., • Get-up-and-go attitude, maturity, responsibility and strong work ethic., • Strong ability to learn quickly., • Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: • Working in the highest-profile consulting projects in the industry, • for the largest companies, leaders of their respective markets,, • alongside top industry management as they face challenges at the national and global level,, • as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. Training • Ongoing training plan, with approximately 10% of business turnover spent on training., • Specialist knowledge courses, external expert courses, professional skills courses and language courses., • Last year our staff as a whole received over 330,000 hours of training spanning more than 150 courses. Career plan • Clearly defined career plan., • Internal promotion based solely on merit., • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. Complementary activities • University : we maintain a close relationship with the world’s most prestigious universities., • Social Action: we organize more than 30 community support activities., • Sports Club: internal and external tournaments.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities • Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK)., • Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance., • Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks., • Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services., • Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: • Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), • LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3., • Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI., • Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions., • Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions., • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field., • 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production., • A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment.

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

Company Description TruLife Optics is a British Technology company that specializes in utilizing world-leading holographic technologies to develop revolutionary Augmented Reality optical components for smart-glasses. We are a friendly team of scientists ranging from physics and chemistry experts to maths and materials specialists. Our focus is on the mathematical modelling, optical design and prototyping holographic optics for our varied Tech clients. The position The role will be in the modelling team – (1) hologram mathematical models – implementing coupled wave theory and differential equations for various hologram specifications and exploring material models. (2) prototyping analysis scripts supporting metrology and lab work, including spectral data analysis, image analysis, dosage analysis, spatial light modulator programming. This involves learning how to interface with scientific instruments capturing the data. (3) organising training and making capabilities available to others – consolidating existing calculation methods and writing up training materials, organising teaching sessions. For all the above, clear reporting to high scientific standards are expected, including sanity checking and fool-proofing the methods and being aware of model limitations and doing error estimations. In this role you will interface and work with colleagues who are involved in the optical design and metrology of these holograms as well as the holographers making the holograms in our state of the art labs. You need to be practical, curious and determined, with a pride in your work and uphold high scientific standards. We are looking for a mathematics graduate with the following required: · First class degree in maths or physics · Desire to work in science · Python · Lab focussed maths tools · Adaptable and versatile, with a willingness to learn new skills. · Ability to prepare scientific reports, ability to take good lab notes and summarise · Right to work in the UK. Other The role as advertised has a large component of theoretical and computer based work. You will also be expected to do lab work as needed – e.g. taking data, interfacing with instruments, doing holographic experiments. Please apply if this combination appeals to you. You will receive thorough training and join a small and friendly team of likeminded professionals.

About Orchestrade Orchestrade is a highly successful US-based fintech software vendor on an exciting growth journey after significant recent investment in new products, people, and capabilities. Our software is a modern trading and risk platform used by some of the world’s top banks, hedge funds, energy, and commodity traders to run their investing businesses. We have top-tier energy clients globally and our product team plays a key role in developing the software to support and address the complex business challenges faced by energy market players. Our headquarters is in the heart of Silicon Valley, with offices in Paris, London, New York, San Mateo, and Singapore. About the Position Orchestrade is looking for a new member to join our Energy & Commodity Business Analyst team. The team continually extends our leading trading, risk, and operations solutions to cover new business cases and traded products & instruments in energy trading across the oil, gas, power, certificates, and metals markets. The team leverages its expertise on commodity and energy derivatives products across the full front-to-back chain: support, maintenance, evolution, and implementation of the commodity and energy framework for our clients. The role involves participating in business case studies as well as client implementation, writing functional and technical specifications, testing and validating developments. The BA team demonstrates a deep understanding of the key aspects of the business, along with a detailed knowledge of the underlying technical design concepts of the system, allowing for tight collaboration with the development team. Job Summary: The Business Analyst will support the growth of Orchestrade through research, development validation and direct interaction with clients. Duties/Responsibilities: • Partner with clients to capture, review and analyze business requirements, • Design, plan and draft functional developments specifications that deliver scalable and fast time-to-market solutions solving real world business problems, • Maintain and enhance the energy product framework in the system, • Provide training to clients and internal teams when needed, • Write functional and technical specifications aimed at our development team, • Test and validation of new developments, • Ensure the highest software quality is provided for our clients Requirements: • MS degree in Mathematics, Engineering, Computer Science or other related fields, • Results-oriented, analytical approach with strong entrepreneurial problem-solving skills, • Experience and understanding an object-oriented programming code (C#) – the ability to read and understand functional code is mandatory. Previous work experience as a developer is a big plus, • Energetic, collaborative, and seeking to make a positive impact on the company, • Entrepreneurial approach and ability to work alone or in teams with minimal supervision, • Excellent time management and organization skills with a keen eye for detail, • Good communication and presentation skills for client meetings, • 5+ years’ experience working within technology (trading systems) or in the energy space (on software vendor or client side) is a must-have, • Proven expertise in one of the following areas is a must-have: simple or complex derivatives (exchange-traded or OTC), market data management, pricing and risk methodologies, middle and back-office processes, electronic trading interfaces

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: • Designing and building machine learning models to solve real-world problems, • Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and AI techniques to generate actionable insights, • Contributing to experimental research, model prototyping, and A/B testing, • Presenting findings clearly to both technical and non-technical stakeholders, • Collaborating across data science, engineering, and product teams to build scalable solutions, • Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline, • Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome, • A solid understanding of core machine learning concepts, data wrangling, and model evaluation, • Proficiency with SQL and experience handling large datasets, • A passion for solving complex problems using data and a continuous learning mindset, • Excellent communication and collaboration skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): • Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch), • Exposure to cloud platforms (AWS, GCP, or Azure), • Experience with experimental design, research methods, or academic publishing, • Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus: £40,000 – £45,000 plus bonus 🏡 Hybrid Working: A flexible mix of office and remote work 📈 Career Growth: Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack: Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture: Be part of a supportive and innovative team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: ___ Base Location: London plus network of 20 offices nationally: The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality. As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded, leading to significant growth in our technology capability. There's never been a better time to join us. With our ambitious growth plans, your future here is something to get excited about. As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment. Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example in a hands-on capacity, actively contributing to codebases and technical decisions while mentoring junior engineers. Scalable AI Engineering: Develop and deploy production-grade AI systems tailored to audit applications. Contribute to architectural decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. Cross-Disciplinary Collaboration: Work side-by-side with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Provide hands-on contributions to ensure AI capabilities are smoothly embedded within core audit platforms and services. Capability Building & Knowledge Sharing: Contribute to internal capability-building initiatives and empower team members and the broader Audit Technology function by sharing practical skills and innovative techniques for adopting and adapting AI effectively. What will you need to do it? Minimum Requirements • Experience: Significant professional experience in backend development as a Senior role., • Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading., • API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/Swagger. Strong understanding of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements • Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields., • Proven track record of designing, developing, and deploying AI systems in production environments., • Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)., • Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph., • Proven experience with modern engineering practices Git, version control, unit testing and containerisation., • Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: • Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: • Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field., • Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable, • Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are: • Glasgow, • Leeds, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: • Technology and Engineering at KPMG: ___, • ITs Her Future Women in Tech programme: ___, • ITs Her Future Women in Tech programme:, • Applying to KPMG: ___, • Tips for interview: ___, • KPMG values: ___, • KPMG Competencies: ___, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:

Hobson Prior is seeking an HTA Statistician to join a team dedicated to delivering impactful analytical solutions in clinical and real-world evidence settings. This role involves contributing to advanced statistical analyses and supporting health technology assessments (HTA) and late-stage clinical trials. If you have a passion for applying innovative statistical methods and working with data to inform healthcare decisions, this opportunity could be the perfect fit for you. Please note that to be considered for this role you must have the right to work in this location. Responsibilities: • Assist with health technology assessments (HTA) and late-stage clinical trial activities., • esign, analyze, execute, and report on clinical trials, HTA studies, and real-world evidence (RWE) projects., • Research and apply advanced statistical methods, including indirect treatment comparisons (ITC), network meta-analysis (NMA), Bayesian statistics, and other techniques., • Perform complex statistical analyses using tools like R and SAS. Key Skills and Requirements: • A postgraduate degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field., • Experience working in clinical trials, HTA, observational research, or real-world evidence studies., • Proficiency in programming and statistical analysis using R and/or SAS., • Familiarity with HTA principles and statistical methodologies is highly desirable. For more information, please contact Antony Serrecchia. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. * Microsoft excel - to expert level. * Learn SQL - the programming language used for extracting data from more complex databases. * Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. * Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities • Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK)., • Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance., • Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks., • Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services., • Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: • Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), • LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3., • Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI., • Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions., • Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions., • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field., • 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production., • A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment.

Please note this is a training programme with career placement and fees apply.If you are looking to progress a career in computer programming or web development, this training and placement programme is made for you.Skills shortages in the IT sector are driving the need for qualified, entry-level ca

The role supports the academic and content teams across all campuses in building essential computational thinking, computer science, computer engineering basics, programming, digital literacy, and critical thinking skills necessary for success in undergraduate computing or IT related graduate/post g

Design, plan and deploy IT projects to enhance the existing IT infrastructure and any applications required by the bank. Bachelor or Master’s degree or professional qualification in IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing. IT

You possess strong development experience in Java and Kotlin.You have familiarity with Agile processes and Test-Driven Development (TDD).You understand Computer Science, Object-oriented Programming (OOP), Design Patterns, Data Structures, and Algorithms.Knowledge of additional technologies such as S