Machine Learning Researcher Oxfordshire - Hybrid SRG are working with an early-stage start-up developing a new technology platform utilising ML to identify Protein structures & interactions at scale and boost drug discovery efforts. They are looking to recruit Machine Learning research lead to work alongside the founders and develop ML based analyses, mathematical models pipelines. This is an exciting opportunity to be an integral part of an emerging business, helping to shape the development & implementation of new technologies that have the potential to transform traditional drug discovery efforts. The Role Design and develop machine learning and mathematical models for analysing experimental data
Implement proof-of-concept software in Python
Build and manage data pipelines from laboratory instruments through to analysis
Run, evaluate and iterate algorithms against defined technical metrics
Engage with broader scientific and technical challenges as they arise Summary of Experience Degree (or higher) in Machine Learning, Computer Science or relevant subject.
Strong Python software engineering skills.
Experience in Machine learning & mathematical models
Previous exposure to biology, biochemistry or drug discovery would be advantageous. This will be hybrid position, working remotely with days in the office in Oxfordshire. To apply, use the link provided. For further information, contact Nathan Fairhurst at Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Bristol As an Algorithms Engineer, you will have the opportunity to work on advanced technologies and create solutions in the field of Radio Frequency (RF) Seekers! Salary: Circa £45,000 to £58,000 depending on experience Dynamic (hybrid) working: Typically 4 days per week on-site, due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you:
Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: Maximum total (employer and employee) contribution of up to 14% Overtime: Opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: Offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…
The opportunity: We have a number of exciting opportunities for various levels of experienced Systems Engineers to join our growing Radio Frequency (RF) Seekers team. You’ll be performing activities including algorithm development and systems studies. This is an exceptional chance to be part of multiple Seeker programmes, including STRATUS - LO and Brimstone, and contribute to the development of Active Electronically Scanned Arrays (AESA) and highly integrated multi-mode sensors. What makes this opportunity truly unique is the scope it offers for innovation and technical growth. You will have the chance to get involved in a variety of systems tasks, driving the technical scope of the programmes. As part of our specialist and diverse team, you will have many opportunities to develop your skills, and be fully supported in doing so. We are looking for individuals who are passionate about the industry and technology, and we are committed to helping you build a successful career while working with incredible technologies and products. As part of the role, you will be involved in a number of activities including many of the following:
Develop algorithms and ensure they are fit for purpose Conduct studies to identify any enhancements and propose future improvements Collaborate with individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products
What we’re looking for from you: Essential experience:
Algorithm development MATLAB Experience Identification, Planning and Running of investigations to inform systems design Data analysis
Desirable experience, but not essential:
Modelling and coding (Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI
Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more… We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-SF1

Bristol An exciting role for a Systems Engineer to be involved in a variety of projects developing ground breaking technologies through the use of Modelling & Simulation. With opportunities to support field trials and work with a dedicated team of Engineers to help your own career development this role is one not to be missed! Salary: From £ 40,000 to £58,000 depending on experience Dynamic (hybrid) working: 3-5 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you:
Company bonus: Up to £2,500 (based on company performance and will vary year to year)
Pension: maximum total (employer and employee) contribution of up to 14%
Overtime: opportunity for paid overtime
Flexi Leave: Up to 15 additional days
Flexible working: We welcome applicants who are looking for flexible working arrangements
Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…
Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: We are looking for Systems Engineers to join a growing team to perform activities including modelling, algorithm development and systems studies. Our work covers simulation and modelling of the entire Seeker chain from radar propagation, to hardware response, to the embedded software algorithms on-board the Seeker. These algorithms are developed in, and auto-coded directly from our models, allowing us to rapidly test, iterate, and deliver sophisticated defence capability. There are roles available across multiple Seeker programmes, from those in the early concepting phase (including developing groundbreaking technologies like Active Electronically Scanned Arrays (AESAs) and highly integrated multi-mode sensors), through assessment and development phases (such as Future Cruise Anti-Ship Weapon FC/ASW) and, supporting spiral development on our in-service phase Seekers. You may have the opportunity to get involved in a variety of other activities within our department including support to field trials and lab testing. There are numerous progression and development opportunities available, as well as interaction with stakeholders across a dynamic multi-national engineering team. We are also looking for more experienced engineers wishing to develop their leadership skills across teams and work packages. What we’re looking for from you:
Degree level qualification in a STEM subject or equivalent experience
Modelling and Coding with proficiency in MATLAB
Algorithm Development
Data Analysis and Technical Report WritingDesirable experience:
Advanced MATLAB
Proficiency in Simulink including Embedded Coder
Formal software or firmware development experience, especially C and HDL
Knowledge of RF systems and digital signal processing
Model verification, configuration control and model release processes
Continuous Integration and Testing
Machine Learning and AIYou will be an adaptable and proactive individual who enjoys finding innovative solutions to complex engineering problems. Most importantly, if you have a passion for the industry and technology, then we want to see you! Our department is an encouraging community, in which you can develop your skills, gain experience and progress your career, giving you exposure to some incredible technologies and products. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more… We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-SF1

Data Architect - AI and Data (DV Cleared) Location: UK Clearance: DV clearance required You’ll work on high impact national programmes, shaping how data is governed, trusted and used across Government and Public Services. You’ll be part of a strong Data & AI community, delivering meaningful work at scale. You will play a key role in shaping secure, scalable and standards aligned data architectures that underpin critical national systems. A senior consulting role, combining enterprise architecture, delivery assurance and stakeholder leadership. You will assess existing data landscapes, define target‑state architectures, and guide delivery teams to implement robust, governed data solutions. Key Responsibilities Define enterprise data architectures, including conceptual, logical and physical data models aligned to UK Government and international standards.
Assess current‑state systems and data landscapes, and design target‑state architectures and transition roadmaps.
Establish and apply data architecture principles, standards and patterns across programmes.
Provide architecture oversight and assurance to ensure solutions are secure, scalable, reliable and maintainable.
Lead or support data and AI proofs of concept, pilots and experiments.
Own and support data governance, including data quality, lineage, metadata and compliance.
Act as an escalation point for data quality, governance and regulatory issues.
Engage with senior business and technology stakeholders to translate business outcomes into data architecture solutions.
Mentor and lead junior Data Architects, Analysts and Engineers.
Contribute to consulting activities, including proposals, presentations and pre‑sales support. Required Skills & Experience Significant experience as a Data Architect within consulting or large, complex organisations.
Strong background in data modelling and design (e.g. dimensional modelling, data vault).
Experience designing Data Lake, Lakehouse and Data Mesh architectures.
Strong understanding of SQL databases and familiarity with columnar and NoSQL technologies.
Experience designing data pipelines (batch, streaming, hybrid) and end‑to‑end data flows.
Knowledge of data governance, data quality, metadata, catalogues and lineage (e.g. Collibra, Informatica).
Understanding of cloud and hybrid deployment models
Proven experience working in multi‑stakeholder, multidisciplinary environments

Research Scientist in Biokinetics Duration: 2 Years Are you passionate about advancing agricultural science? Do you thrive in a dynamic research environment? Our client, is looking for a Research Scientist in Biokinetics to join their innovative Bioperformance group! This is an exciting opportunity to contribute to global food security through cutting-edge research in crop protection. About the Role: As a Research Scientist, you will play a pivotal role in understanding the ADME (Absorption, Distribution, Metabolism, and Elimination) behavior of active ingredients (AIs). Your work will help illuminate critical performance characteristics like selectivity and resistance, making a real impact on how crops are grown. Key Responsibilities: Conduct Research: Perform laboratory and glasshouse assays to gather high-quality data on the bioavailability of novel agrochemicals.
Design Experiments: Independently design, plan, execute, and analyze experiments focusing on interactions between AIs and biological systems.
Data Interpretation: Analyze and interpret data, presenting your conclusions in detailed reports and engaging presentations.
Team Collaboration: Work closely with cross-disciplinary colleagues, ensuring effective communication and teamwork.
HSE Compliance: Implement health, safety, and environmental actions to maintain operational standards. What We’re Looking For: Essential Qualifications: BSc or MSc (preferred) in Biological Science, with a focus on plant, insect, or fungal biology, biochemistry, or chemistry.
A minimum of two years of relevant laboratory experience in a professional or academic setting.
Strong scientific writing skills and fluency in English.
Excellent organizational and interpersonal skills. Desirable Qualifications: Experience in Pharmacology, Agronomy, Crop Protection, Biochemistry, or Analytical Chemistry.
Familiarity with ADME studies and analyzing small molecules using LC-MS.
Proficiency in handling large datasets and utilizing data visualization tools.
Experience working with plants, soil, or seeds. What They Offer: Comprehensive training in advanced techniques, including LCMS-based analysis.
A stimulating and international work environment that values impactful research.
Access to well-equipped laboratories and a culture of openness and diversity.
Opportunities to collaborate with highly qualified scientists and enhance your technical expertise. Apply today and be part of something great! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Research Scientist in Biokinetics (Crop Protection) Are you passionate about advancing agricultural science and contributing to global food security? Our client, a leading R&D organization in agriculture, is seeking a dedicated Research Scientist to join their dynamic Bioperformance group. This is your chance to make a meaningful impact in crop protection through innovative research! About the Opportunity:
In this role, you’ll delve into the ADME (Absorption, Distribution, Metabolism, and Elimination) behavior of active ingredients. Your research will provide critical insights into performance characteristics such as selectivity and resistance, ultimately enhancing how crops are grown worldwide. Key Responsibilities: Conduct a variety of projects focused on product development and market support.
Design, plan, execute, and analyze experiments to understand how active ingredients interact with plants.
Perform lab and glasshouse assays, producing high-quality data on the bioavailability of agrochemicals.
Communicate findings through detailed reports and presentations.
Ensure compliance with health, safety, and environmental (HSE) standards. What We’re Looking For:
Essential Qualifications: BSc or MSc (preferred) in Plant Biology, Biochemistry, Chemistry, or Soil Science.
Minimum of two years of laboratory experience in a relevant setting.
Strong skills in scientific writing and communication. Desirable Skills: Experience in Pharmacology, Agronomy, Crop Protection, Biochemistry, or Analytical Chemistry.
Familiarity with handling large data sets and using data analysis tools.
Knowledge of the ADME study of active ingredients and experience with LC-MS.
Understanding of plant physiology and crop health. Position Details: Duration: Two years
Number of Positions: 1 Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Data Architect - AI and Data (DV Cleared)

Location: UK

Clearance: DV clearance required

You’ll work on high impact national programmes, shaping how data is governed, trusted and used across Government and Public Services. You’ll be part of a strong Data & AI community, delivering meaningful work at scale. You will play a key role in shaping secure, scalable and standards aligned data architectures that underpin critical national systems.

A senior consulting role, combining enterprise architecture, delivery assurance and stakeholder leadership. You will assess existing data landscapes, define target-state architectures, and guide delivery teams to implement robust, governed data solutions.

Key Responsibilities

• Define enterprise data architectures, including conceptual, logical and physical data models aligned to UK Government and international standards.
• Assess current-state systems and data landscapes, and design target-state architectures and transition roadmaps.
• Establish and apply data architecture principles, standards and patterns across programmes.
• Provide architecture oversight and assurance to ensure solutions are secure, scalable, reliable and maintainable.
• Lead or support data and AI proofs of concept, pilots and experiments.
• Own and support data governance, including data quality, lineage, metadata and compliance.
• Act as an escalation point for data quality, governance and regulatory issues.
• Engage with senior business and technology stakeholders to translate business outcomes into data architecture solutions.
• Mentor and lead junior Data Architects, Analysts and Engineers.
• Contribute to consulting activities, including proposals, presentations and pre-sales support.

Required Skills & Experience

• Significant experience as a Data Architect within consulting or large, complex organisations.
• Strong background in data modelling and design (e.g. dimensional modelling, data vault).
• Experience designing Data Lake, Lakehouse and Data Mesh architectures.
• Strong understanding of SQL databases and familiarity with columnar and NoSQL technologies.
• Experience designing data pipelines (batch, streaming, hybrid) and end-to-end data flows.
• Knowledge of data governance, data quality, metadata, catalogues and lineage (e.g. Collibra, Informatica).
• Understanding of cloud and hybrid deployment models
• Proven experience working in multi-stakeholder, multidisciplinary environments.

Job Title: Data Engineer (Talend & Unix Specialist) Location: Telford (Hybrid - occasional onsite workshops, ~2 days/month in Telford) Rate: Up to £450/day inside IR35 Security Clearance: Active SC Role Overview We are seeking an experienced Data Engineer to design, build, and support robust data integration and ETL solutions within a secure government environment. The role focuses on delivering scalable, performant data pipelines and ensuring high service reliability across critical data platforms. Key Responsibilities Design and implement secure, scalable data integration and ETL solutions using Talend and Unix
Build and maintain data pipelines (ingestion, transformation, curation) with monitoring, alerting, and SLA adherence
Collaborate with stakeholders to define requirements aligned to non-functional requirements (performance, cost, security)
Support incident resolution and ensure service continuity
Contribute to Agile delivery ceremonies and cross-functional team collaboration
Mentor team members and share technical knowledge Essential Skills Talend
Unix
Oracle SQL
Agile delivery (Scrum/Kanban)
Jira & Confluence Desirable Skills Oracle PL/SQL
AWS
GitLab
Vault
Denodo
Data modelling & design (HLD/LLD)
Test automation frameworks
Artifactory
Berlin JobScheduler
Knowledge of D4D development lifecycle If this Data Engineer role is of interest, apply now or email your CV to me at (url removed)

Job Title: AI Software Engineer
Location: Leeds, West Yorkshire / Hybrid
Salary: £70,000 - £90,000 per annum + benefits

Why Apply?

A technology-led organisation is building a genuinely AI-native capability, embedding artificial intelligence into its products, platforms, and long-term strategy. This permanent, full-time Software Engineer (AI Focus) role offers the opportunity to build robust, scalable systems that integrate AI into real-world applications, not just proofs of concept.

Software Engineer (AI Focus) Responsibilities

• Design, build, and maintain scalable backend systems and services
• Contribute to the development and evolution of a production-grade AI platform
• Build and integrate AI-powered features such as LLM-driven services, RAG pipelines, and agent-based workflows into core systems
• Apply modern software engineering best practices (clean code, testing, CI/CD, observability) to all solutions
• Develop internal tools and platforms to improve developer productivity and system efficiency
• Collaborate closely with product, data, and platform teams to deliver high-quality features
• Evaluate and adopt emerging tools, frameworks, and technologies where they add clear value
• Support the adoption of AI capabilities across the wider engineering ecosystem

Software Engineer (AI Focus) Requirements

Essential:

• Strong software engineering experience building and maintaining production systems
• Solid understanding of system design, scalability, and performance considerations
• Experience developing backend services and APIs in modern tech stacks
• Exposure to, or strong interest in, AI technologies such as Large Language Models (LLMs), including API integrations or prompt-based workflows
• Proficiency in at least two modern programming languages
• Experience with version control, testing practices, and CI/CD pipelines
• Strong collaboration skills and experience working in cross-functional teams

Desirable:

• Experience integrating AI into production systems (e.g. chat interfaces, automation, intelligent search)
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings
• Experience with cloud platforms (AWS preferred)
• Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar)
• Open-source contributions or side projects, particularly involving scalable systems or AI

This role is best suited to software engineers who enjoy building reliable, scalable systems and are interested in applying AI to enhance real-world products and platforms.

What’s in it for me?

• Permanent, full-time Software Engineer (AI Focus) role
• Competitive salary (£70,000 - £90,000)
• Hybrid working model with remote flexibility
• Private healthcare
• Professional development and funded learning
• Opportunity to work on modern, AI-enabled systems at scale
• Clear progression within a growing engineering function

This role offers a strong opportunity to shape how AI is embedded within a modern, technology-led organisation.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Data & ML Engineer Newcastle (Hybrid)

Build intelligent data products. Deploy real-world AI. Scale modern data platforms.

A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients.

This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems.

What youll be doing

• Build and optimise data pipelines and ML workflows
• Develop and deploy ML models (NLP, deep learning, AI applications)
• Work with streaming and batch data pipelines across cloud platforms
• Implement CI/CD and MLOps frameworks
• Collaborate with cross-functional teams to deliver data-driven solutions
• Support data modelling, governance, and quality initiatives

What were looking for

• Experience with Python, SQL, Spark (and ideally Scala)
• Hands-on delivery of ML solutions in production
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Understanding of DevOps, containers, and Infrastructure-as-Code
• Strong problem-solving and stakeholder communication skills

The offer

• Work on cutting-edge AI and ML projects
• Opportunity to grow within a high-performing engineering team
• Hybrid working model (Newcastle-based)
• Strong benefits and development opportunities

Requirements: 3+ years experience, eligibility for UK security clearance.

£150,000 - 200,000 GBP

Performance Based Bonus

Onsite WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Systematic Options Trader

My client is a leading quantitative trading firm recognized for its cutting-edge research and technology in the derivatives and futures space. As part of continued growth, the firm is expanding its systematic options trading capabilities and is seeking experienced Systematic Options Traders to join their global trading platform. This is a unique opportunity to leverage the firm’s advanced infrastructure, data, and execution stack to design, implement, and scale options trading strategies across global markets. Successful candidates will enjoy significant autonomy, direct PnL linkage, and the chance to play a key role in shaping a high-performing systematic options desk.

About the Role
• Research, design, and implement systematic trading strategies focused on listed options markets
• Develop pricing models, volatility surfaces, and signal-based strategies across multiple asset classes
• Build and maintain robust backtesting and simulation frameworks
• Work closely with quant developers and researchers to optimize execution and risk management
• Continuously enhance trading performance through data-driven insights and model refinement

About You
• 5+ years’ experience in a quantitative or systematic trading environment (options or volatility strategies preferred)
• Proven multi-year track record managing systematic options strategies or volatility portfolios
• MSc/PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering, or similar) from a top-tier university
• Strong understanding of derivatives pricing, volatility dynamics, and options microstructure
• Expertise in statistical modeling, signal generation, and alpha research
• Solid programming skills in Python or C++ (experience with backtesting and simulation frameworks a plus)
• Experience working with large, high-frequency datasets and real-time trading systems

£150,000 - 200,000 GBP

Performance Based Bonus

Onsite WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Systematic Equity Stat Arb Quantitative Researcher

A leading systematic multi-strategy hedge fund is expanding its systematic equity team and is seeking a talented Quantitative Researcher with a proven track record in statistical arbitrage strategy development. This is a unique opportunity to join a high-performing team focused on developing and scaling alpha-driven strategies across global equity markets.

Key Responsibilities
• Conduct alpha research, backtesting, and implementation of systematic stat arb strategies
• Design and develop new quantitative trading models across global equity markets
• Optimize portfolio construction and enhance existing trading strategies
• Leverage big data and machine learning techniques to uncover new signals
• Collaborate with other researchers, engineers, and portfolio managers in a fast-paced environment

Ideal Candidate Profile
• 3+ years of experience developing systematic statistical arbitrage strategies in equity markets
• Advanced degree (MSc/PhD) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Engineering) from a top-tier university
• Strong foundation in mathematics, statistics and signal generation techniques
• Proficient in Python and/or C++ for research and model implementation
• Experience with backtesting, simulation frameworks and large-scale data analysis
• Exposure to machine learning and alternative data is a strong plus

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Title: Director, AI Platform Manager/ AI Platform Owner

Business Unit: Global Technology

Location: London, UK or Charlotte, NC

Barings is a leading global financial services firm dedicated to meeting the evolving investment and capital needs of our clients and customers. Through active asset management and direct origination, we provide innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe, and Asia Pacific.

Job Summary

Barings is building an enterprise AI platform to enable the safe, scalable, and governed adoption of AI agents and AI-powered solutions across the organisation. We are seeking an AI Platform Manager to own the end-to-end operation, evolution, and governance of this platform as it moves from build into adoption and scale.

This role is accountable for platform coherence across a hybrid ecosystem that includes multiple Agent development platforms and runtimes including selected third-party AI tools. The AI Platform Manager will act as the central coordinator across cloud, data, integration, security, identity, and application platform teams, ensuring alignment with the enterprise AI reference architecture, governance frameworks, and regulatory obligations.

The successful candidate will combine platform ownership, stakeholder coordination, and pragmatic delivery leadership, enabling teams to build and operate AI capabilities without compromising security, cost control, or compliance.

Primary Responsibilities

• Own the end-to-end AI platform lifecycle, including roadmap, operating model, adoption strategy, and continuous improvement aligned to the enterprise AI reference architecture.
• Act as the single point of accountability for the AI platform, coordinating across infrastructure, cloud, data, security, identity, integration, and application platform administrators.
• Govern and manage a hybrid AI tool ecosystem spanning Microsoft-native platforms and approved third-party AI tools.
• Define and operate platform guardrails covering access control, cost management, usage monitoring, model selection, tool onboarding, and lifecycle management.
• Ensure responsible AI, regulatory alignment, and audit readiness in partnership with enterprise risk and compliance teams.
• Oversee AI gateway and control-plane capabilities including usage tracking, rate limiting, observability, logging, and chargeback mechanisms.
• Establish clear RACI models for platform ownership versus domain ownership.
• Enable safe self-service AI development across low-code and pro-code tooling.
• Own platform-level standards, documentation, and onboarding playbooks.
• Support demand management, prioritisation, and platform fit assessment for AI use cases.

Qualifications

• Experience owning or operating enterprise technology platforms.
• Strong cross-team coordination skills in complex enterprise environments.
• Understanding of AI platforms, agent-based architectures, and AI services.
• Experience working in regulated or governance-heavy environments.
• Knowledge of platform cost management, usage monitoring, and chargeback models.
• Strong communication and stakeholder management abilities.
• Experience with Microsoft AI ecosystem including Copilot, Copilot Studio, Azure AI Foundry, and Databricks.
• Familiarity with AI gateway patterns, zero-trust architecture, and identity-centric access controls.
• Understanding of Responsible AI, data classification, and AI risk management.
• Experience operating platform observability and usage analytics.
• Background in multi-vendor or hybrid platform environments.
• AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry
• Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search
• Cloud & Integration: Microsoft Azure, API Management, Containers
• Identity & Security: Azure Entra ID, Key Vault, RBAC
• Observability & Governance: Logging, usage analytics, cost dashboards
• This is a platform ownership and coordination role, not a hands-on model development position.
• Success is measured by adoption, safety, scalability, and sustainability of the AI platform.
• Works closely with architects and engineers while remaining accountable for crossplatform alignment.
• Experience within financial services, asset management, or other regulated industries is strongly preferred. Familiarity with enterprise-scale operating models and shared services environments is beneficial.

Requisite Skills

Additional Skills

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.

Senior Python Engineer (AI Systems) Salary: £60,000 – £90,000
Location: Remote
Eligibility: Applicants must have the right to work in the UK (no sponsorship available) The Opportunity What if the systems you built didn’t just optimise engagement, but played a role in determining someone’s future career? This is an opportunity to work on AI solutions that directly impact education, certification, and access to skilled professions. Your work will sit at the intersection of large language models, evaluation frameworks, and high-stakes decision-making, where precision, fairness, and reliability matter. About the Company This UK-based AI organisation is redefining how professional certification and assessment are delivered. Their goal is to make accreditation more accessible, scalable, and fair through intelligent automation. You’ll join a small, highly capable team where engineers are trusted to take ownership, influence direction, and deliver meaningful outcomes. Collaboration is strong, and the focus is on building systems that work—properly. What You’ll Gain * High levels of ownership and autonomy * The chance to build AI systems with real-world impact * End-to-end involvement across the AI lifecycle * A collaborative, pragmatic engineering culture * Exposure to LLM evaluation, multimodal AI, and human-in-the-loop systems The Role As an AI Engineer, you’ll design and scale intelligent systems that evaluate knowledge and skills accurately and efficiently. Your work will include: * Developing AI-driven assessment pipelines using structured data and evaluation criteria * Building evaluation frameworks, datasets, and testing methodologies * Working with LLM workflows, focusing on performance, cost, and reliability * Applying statistical techniques to validate improvements * Contributing to systems that handle text, image, and video inputs * Generating clear, explainable feedback for users * Implementing monitoring, observability, and evaluation pipelines * Designing safeguards such as confidence thresholds and human review processes * Building APIs and deploying scalable solutions in the cloud * Contributing to system architecture and technical direction The Ideal Candidate You’re an experienced AI/ML engineer who enjoys solving complex problems and takes pride in building systems that are robust and maintainable. You’ll likely have: * Around 4+ years’ experience in AI/ML engineering (or a relevant PhD with industry exposure) * A track record of delivering end-to-end ML systems in production * Strong Python programming skills, with experience building reliable backend systems and APIs * Hands-on experience with LLMs and modern AI workflows * Experience with evaluation frameworks and model optimisation * Familiarity with testing, observability, and experimentation practices * Experience deploying to cloud environments (AWS preferred) * A solid understanding of fairness, privacy, and model integrity * Confidence working in a fast-paced, small team Apply Now If you’re looking to build AI systems that genuinely matter—and want the freedom to shape how they’re designed and deployed, this is a standout opportunity. Please note: this role does not offer visa sponsorship, and applicants must already have the right to work in the UK. Apply today or get in touch for a confidential discussion

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

About the Role

Join our Investment Analytics Team as a Senior Data Scientist, where you’ll partner with investment professionals and cross-functional teams to shape the future of data-driven investing .

As a Senior Data Scientist, you’ll play a key role in developing quantitative research and data science solutions that improve investment outcomes. You’ll collaborate closely with investment teams and Analytics colleagues, contribute to the development of internal tools, and support innovation initiatives across investments .

Key Responsibilities

• Collaborate closely with investment teams to understand their challenges and contribute to data - driven solutions, building strong working relationships across the business.

• Translate business problems into experiments and end - to - end solutions, delivering work that provides clear, measurable value.

• Design, develop, and deploy quantitative research and machine learning models to enhance investment decision - making.

• Contribute to the design and implementation of scalable data science and ML systems, leveraging cloud platforms and big data tools.

• Manage work across multiple projects, balancing delivery priorities and collaborating with peers and leads to ensure timely outcomes.

• Communicate complex technical concepts and insights clearly to both technical and non-technical stakeholders, using compelling storytelling to present assumptions, limitations and drive action.

• Stay abreast of the latest industry and academic developments in data science, quantitative finance and technology, identifying those with potential business impact.

• Apply and promote best practices in data science, including code quality, security, documentation, and agile methodologies.

  Experience & Skills

• Significant experience applying data science in investments, with a proven track record of delivering end-to-end solutions from research prototype to production deployment .

• Deep expertise in quantitative research, backtesting , factor-based investing, and machine learning applications in trading.

• Advanced programming skills in Python and SQL; strong experience with data visualisation tools to present analy sis to investment audiences .

• Hands-on experience with relational databases, cloud computing platforms and big data technologies .

• Demonstrated experience contributing to the design and scaling of data science and ML systems in a production environment.

• Excellent communication skills, with the ability to translate complex analytics into actionable business insights.

• Strong understanding of the investment process, trading across asset classes, and financial markets.

• Proactive, analytical, and structured approach to problem-solving, with a passion for innovation and continuous improvement.

• Comfortable working under pressure in a fast-paced environment; strong prioritisation skills and experience working in agile, iterative teams.

• A curious mindset with appetite to learn new technologies and techniques, and to push for practical innovation.

• Advanced degree (MSc/PhD) in a quantitative discipline (Statistics, Mathematics, Computer Science, Physics, Financial Engineering , CFA , CQF or similar).

Recruiter: Sarah Hawkins
Job Level: Manager or Expert

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18% , with 13% made up of Employer Contributions and 5% Employee Contributions . We also offer Share Save and our Share Incentive Plan , together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.
• Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy - to balance your work and personal commitments.
• Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.
• Health & Protection cover including Private Healthcare , Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com

Avanti is working with an exciting early-stage 5-person fintech startup based in London that is about to launch its first product in the embedded finance space. Their platform helps businesses unlock working capital through intelligent, AI-driven invoice financing solutions, integrated directly into existing financial workflows. With their launch just around the corner, they are now looking for a Mid-Level FullStack Developer to join their growing team. THE ROLE This is not a typical developer role. You’ll be working across both technology and business operations, giving you a unique opportunity to understand how a fintech company is built from the ground up. Around 70-80% of your time will be focused on development, with the other 20-30% focused on working closely with the COO to understand the operational side of the business. You’ll be responsible for: \* Building and maintaining FullStack applications \* Developing APIs and working with databases \* Contributing to frontend and backend development \* Supporting AI-driven features and data workflows \* Debugging, testing, and improving system performance \* Working closely with the business to help automate operational processes TECH STACK \* .NET (backend) \* React (frontend) \* MySQL \* AWS \* Python (AI and data models) Experience Required \* 3+ years of experience in software development \* Strong .NET experience \* Some front-end (React ideally) – however Angular/Vue is fine \* Good understanding of software engineering fundamentals \* Interested in working in a startup / Have startup experience \* AWS exposure (similar cloud is fine) \* Interested in AI Desirable: \* Previously worked in a start-up \* Python experience (Data / AI) Why Join? \* Join a startup at launch stage \* Work on AI-driven fintech products \* Gain exposure beyond coding into real business operations \* Fast-track your development with hands-on experience \* High visibility and real impact from day one Salary is up to £50,000 and you will be required on-site 4 days per week in Central London. If interested then click Apply Now

Microsoft AI Copilot Consultant (Contract) - Azure AI Foundry / Copilot Studio Location: UK (Remote with occasional travel) Contract Length: Initial 2 months (likely extension) Start Date: 1st May (ASAP) Day Rate: £550-£650 per day (DOE) IR35 Status: TBC (Commercial engagement - likely Outside, subject to assessment) Overview We are supporting a customer who requires an experienced Microsoft AI Copilot Consultant to lead the rapid design and deployment of AI-powered solutions using Microsoft’s latest Copilot and Azure AI stack. This is a fast-moving engagement with an immediate start, ideal for someone who can quickly get up to speed and deliver value in a short timeframe. Key Responsibilities Design and implement AI solutions using Microsoft Copilot Studio
Build and deploy intelligent agents leveraging Azure AI Foundry
Develop and configure Copilot agents for business use cases
Integrate AI solutions into existing Microsoft ecosystem (M365, Dynamics, Azure)
Work closely with stakeholders to gather requirements and translate into AI-driven solutions
Deliver rapid prototyping and iterative improvements
Ensure best practices around security, governance, and scalability Required Experience Hands-on experience with Microsoft Copilot / Copilot Studio
Proven experience building AI agents using Azure AI / Azure OpenAI services
Experience with prompt engineering, LLM orchestration, and agent workflows
Solid understanding of Microsoft Azure ecosystem
Experience integrating AI into enterprise environments
Ability to work in fast-paced, delivery-focused projects Desirable Skills Experience with Power Platform (Power Automate, Power Apps)
Knowledge of RAG (Retrieval-Augmented Generation) architectures
Familiarity with enterprise data security and compliance in AI solutions
Previous consulting or client-facing delivery experience Working Pattern Primarily remote (UK-based)
Occasional travel may be required
Must be available for some late afternoon meetings (typically 4:00pm - 5:30pm UK time) to collaborate with US stakeholders Interested? If this role sounds like you, then why are you still reading?! APPLY NOW

In this developer role, you will:

• Provides senior-level system analysis, design, development, and implementation of applications and databases, including third-party product integration.
• Translates technical specifications into code for complex projects, writes programs, develops code, tests artifacts, and produces reports, ensuring automation support.
• Elevates code to development, test, and production environments on schedule, provides production support, and submits change control requests with documentation, including peer reviews.
• Understands software development methodology and architecture standards, trains and mentors less experienced staff, and resolves elevated issues.
• Participates in design, code, and test inspections throughout the life cycle, explains technical considerations at meetings, and performs systems analysis activities.
• Understands client business functions and technology needs, with a broad knowledge of Vanguard’s technologies, tools, and applications.
• Interfaces with cross-functional team members and communicates system issues at the appropriate technical level for each audience.
• Works with business-facing IT teams to deliver new solutions, reviews functional specifications, translates them into program specifications, liaises with end users for acceptance testing, and provides 3rd line support.
• Builds thought leadership and expertise in best-practice solution design and implementation.
• Manages time effectively across multiple projects with competing business demands and priorities.

What it takes:

• Experience in Test Driven Development and strong knowledge of Java (17 or higher), Spring Boot, Spring MVC, RESTFul API implementation, GraphQL, and open-source frameworks
• Experience in software development using cloud technologies (AWS preferred)
• Knowledge of build/deployment/testing/logging/monitoring tools and frameworks like Maven, Cucumber, Bamboo, GitHub, Claude Code/Bedrock and Splunk.
• Understanding of investment management domain with strong analytical, problem solving and communication skills.
• Ability to work well with both business managers and operations team, and ability to perform well under pressure, and deliver to tight deadlines.
• Knowledge of agile software development process/practices and familiarly with JIRA, Confluence, and other tools.
• Desirable - Knowledge and experience in Python programming, regulatory/transaction reporting domain knowledge.

Languages
Python & Java.AWS technologies
Lambda (Python 3.7 and above),
S3 buckets
Step functions
SNS/SQS
GraphQL
IAM Roles
CloudWatch/CloudTrail
CloudFormation
AppSync

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Machine Learning Engineer Software Engineer

(Applied AI / Scientific Computing)

Location: Surrey, UK (Office based)

Details: Full-Time | Truly competitive salary + Bonus + unrivalled benefits

A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high-performance simulation and modelling tools used worldwide.

This is a hands-on applied AI role — focused on building and deploying ML solutions inside production-grade engineering systems, not isolated research or experimental prototypes.

The position:

You’ll design, build, and deploy machine learning models that directly enhance complex engineering software products. Expect a blend of ML engineering, software development, and computational problem solving.

You’ll work across the full ML lifecycle, ensuring models are not only accurate, but efficient, scalable, and production-ready.

Key Responsibilities:

* Build and deploy ML models into production engineering software systems

* Own the full ML pipeline: data prep, feature engineering, training, evaluation, optimisation

* Translate complex scientific/engineering problems into ML-driven solutions

* Improve model performance in compute-intensive environments

* Write clean, testable, maintainable production code

* Integrate ML services via APIs and software components

* Collaborate with engineers and domain specialists on real-world systems

Experience required:

* Strong Python programming and software engineering fundamentals

* Proven experience applying ML to real-world datasets and problems

* Understanding of model trade-offs, performance, and production constraints

* Experience working with complex or imperfect data (not just curated datasets)

* Ability to write efficient, scalable, production-quality code

Desirable Experience:

* PyTorch, TensorFlow, or similar ML frameworks

* Scientific computing / numerical methods / optimisation

* GPU acceleration or high-performance computing

* MLOps, model deployment, APIs, or production pipelines

What’s great about this position:

* Focus on applied AI in real engineering systems

* Work on technically challenging, high-impact problems

* Close collaboration with experienced engineers and domain experts

* Influence how AI is embedded into core global software products

* Long-term technical depth, not short-cycle ML experimentation

Please sind a copy of your CV to apply or call us for an informal chat. Thanks.

#MachineLearning #ArtificialIntelligence #AIEngineering #MLOps #Python #DataScience #ScientificComputing #SoftwareEngineering #AppliedAI #EngineeringSoftware #GPUComputing #UKTechJobs #Hiring

Zebrec are delighted to offer this role as Technical Architect (AI) working for our client who is a reputable & leading provider of professional services to their industry of Unified Communications, Cyber Security, LAN and Microsoft Teams spaces.

Snapshot of Role, Responsibilities & Skills for the : Technical Architect (AI)

Consultancy for Microsoft Copilot (Microsoft Copilot, Copilot Studio, AI Agents, SharePoint Agents, Microsoft 365) customer engagements From presales stage through to delivery.

• Strong knowledge of the Microsoft Copilot ecosystem inc Power Platforms
• Strong hands-on experience with Microsoft Copilot Studio, designing and deploying custom AI agents
• Strong experience working in a consulting or customer-facing delivery role
• Knowledge of the Microsoft Modern Work ecosystem
• Review/ technical oversight for customer pre-sales engagements
• Responsible for end-to-end stages of delivery including survey, design, build and commissioning of MS Copilot services
• Design and host presales and post-sale workshops with customer stakeholders
• Creation of AI solutions for customers using Copilot Studio
• Provide technical support across for business and customers

A full and updated specification may be avaiable, please contact us for details.

If you would be interested in applying for the role of Technical Architect (AI) then please send us a copy of your updated CV

We take your data seriously and you can view our privacy policy on our website. By applying for this role, you are acknowledging that you have accepted Zebrecs terms & conditions.

Audio, AV, A-V, A/V, Audio Visual, Audio-Visual, AudioVisual, Autodesk, AMX, AV Design, AutoCAD, AV Integration, Avixa, BMS, CAD, Cisco, Clearone, Crestron, Corporate, CTS, Data, Design, Digital Signage, Digital Video, Exterity, Extron, Harman, HD, HDBaseT, Home Automation, Home Cinema, Infocomm, IoT, IP, Kaleidescape, Lighting, LG, Lighting, LG, Lutron, Microsoft Project, MS Project, NEC, Networks, Networking, PA Systems, Panasonic, Polycom, PM, Prince2, Prince 11, Project Manager, Project Management, QSC, Residential, Revit, Samsung, SD, Sony, Video, VC, Video Conferencing Systems, Visio, Visual, Yamaha

London – Hybrid Salary £80,000 - £90,000 (depending on experience) VIQU has partnered with a leading organisation in the clean energy sector to recruit a Senior Data Engineer. You will design and build scalable data infrastructure, turning complex datasets into valuable insights that support renewable energy systems. Working in a collaborative, agile team, you’ll take ownership of key initiatives while contributing to best practices and mentoring others. Key Responsibilities of the Senior Data Engineer: • Build and maintain scalable data infrastructure using cloud technologies • Develop and optimise ETL pipelines for efficient data processing • Support data science and analytics to optimise energy assets • Implement infrastructure as code (Terraform/AWS) • Ensure data quality, integrity, and consistency • Integrate external APIs for data ingestion and delivery • Collaborate with cross-functional teams on data-driven solutions • Mentor team members and promote best practices Key Requirements of the Senior Data Engineer: • Strong experience building data pipelines, platforms, and storage systems • Advanced Python skills with a focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data services end-to-end • Strong stakeholder communication and collaboration skills • Ability to mentor others and promote best practices Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment. Senior Data Engineer London – Hybrid Salary £80,000 - £90,000 (depending on experience)