Want to do the best work of your life? Make your mark at Europe’s leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work.

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

Join us as a Media AI Technologist and help turn early-stage ideas into working AI prototypes that improve real media workflows. You’ll work across editorial, creative, product, engineering and operations teams to test what’s possible, prove value quickly, and shape where AI can make the biggest impact.

This is a hands-on role for someone who enjoys building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows.

This position is an excellent fit for a recent graduate looking to start a tech career in a brilliant media company.

What you’ll do:

• Partner with teams across Editorial, Creative, Media Operations, Product and Engineering to turn early ideas into clear, testable problems grounded in real workflows.
• Build and iterate AI prototypes in rapid cycles, typically over 2-6 weeks, to prove or disprove new opportunities quickly.
• Create lightweight agentic workflows that can combine models, tools and human review steps to complete multi-step tasks reliably.
• Analyse results, share what worked and what did not, and help stakeholders understand what should happen next.
• Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable.

What you’ll bring:

• Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text.
• Good understanding of modern AI tooling and approaches, for example multimodal models, speech-to-text, OCR, semantic search, summarisation, orchestration or workflow automation.
• Comfort working in ambiguity and collaborating with a wide range of stakeholders to shape ideas into something practical.
• Curiosity, pace and sound judgement: you know how to keep scope lean while still building something valuable.

Also helpful:

• Experience working with media, broadcast, content or operational workflow tools.
• Familiarity with cloud platforms such as AWS or GCP.
• Exposure to evaluation, experimentation or prototype measurement in AI products.
• Experience building interfaces or visual demos that help others quickly understand what a solution does.

The Rewards:

There’s a reason people can’t stop talking about . Our great range of rewards really are something special, here are just a few:

• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive Sky VIP rewards and experiences

How you’ll work:

At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office.

The hybrid working expectations for this role are 3 days in the office per week.

Your office base

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

Inclusion:

We’re an equal opportunity employer and value diversity at our company. We don’t discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We’re a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We’ll look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

Why wait?

Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you.

To find out more about working with us, search on social media. A job you love to talk about.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Position: Data Scientist
Location: London, UK (Hybrid-2 days a week from office)
6 months contract position

The Role

In this role, you will uncover the insights and intelligence that help customers in dynamic, data intensive industries operate, scale, and innovate. You will develop robust, future ready machine learning and analytical models that enable predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and advanced statistical and AI frameworks, you will work closely with engineering, product, and analytics teams to build solutions that are accurate, explainable, and scalable. This role empowers you to shape end to end analytical ecosystemsaccelerating delivery, enhancing decision quality, strengthening operational resilience, and guiding organisations toward a more insight rich, AI enabled future.

Your responsibilities:

Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights.

Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact.

Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision making.

Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well-defined modelling tasks.

Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs.

Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant.

Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops.

Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non-technical stakeholders.

Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions.

Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change.

Your Profile

Essential skills/knowledge/experience: (Up to 10, Avoid repetition)

Role- Data Scientist (5 to 12 Yrs)

Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.

Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. (PG vector / croma DB)

Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval

Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP

Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript (preferable)

Solid understanding of LLMs, prompt engineering, and graph-based workflows.

Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.

Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies

Knowledge of API Gateways and ISTIO, ability to Diagnose and intercept failures in End-to-End communication

Hands-on Experience with API Development and Microservices architecture

Desirable skills/knowledge/experience: (As applicable)

Strong experience applying machine learning, statistical modelling, and predictive analytics to real world business problems.

Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations

Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis.

Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning.

Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring.

Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows.

Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non-technical audiences.

Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles.

Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute.

A growth-oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques.

Role Details

• Role / Job Title: AI Architect
• Location:London
• Hybrid Requirement: 2 days
• Duration of Assignment: 6 Months

The Role In this role, you will define the architectural blueprint and technology foundations for AI driven solutions that transform how customers in dynamic, data intensive industries operate, scale, and innovate. You will design robust, future ready AI architectures that enable automation, advanced analytics, and intelligent decision making across complex digital transformation programmes. With access to cutting edge AI frameworks, high performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end to end AI ecosystems-accelerating delivery, enhancing customer experience, strengthening operational resilience, and driving their journey toward a more intelligent, AI enabled future. Key Responsibilities

• Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments
• Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops
• Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service boundaries
• Define enterprise-wide AI architecture guidelines, reusable components, and long-term roadmap to ensure consistency and acceleration of AI initiatives
• Implement MLOps/LLMOps pipelines for versioning, CI/CD, approvals, and controlled promotion across environments; enforce reproducibility
• Work closely with product owners, data scientists, engineers, security teams, and business stakeholders to ensure architecture translates into high value solutions
• Enforce IAM least privilege with IAM Conditions, organisation policies, and scoped service accounts; integrate BeyondCorp for zero trust access
• Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts
• Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals
• Architect APIs, microservices, and integration patterns that embed AI capabilities seamlessly into existing workflows and digital products

Your Profile Essential Skills / Knowledge / Experience AI Architect: ( Exp Range 7+)

• Design agentic AI architectures using multi agent orchestration patterns (planner executor, supervisor worker, tool using agents)
• Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments)
• Design audit ready agent interactions, tool usage logs, and decision provenance
• Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns)
• Hands on expertise with agentic frameworks (orchestrators)
• Experience with LLMs, prompt engineering, tool/function calling, memory management
• API first integration, event driven architectures, and data pipelines
• Exposure to AI quality metrics: task success rate, groundedness, containment, FCR
• Experience on Google Cloud Platform (preferred) or equivalent hyperscale
• Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering

Desirable Skills / Knowledge / Experience

• Knowledge of MLOps / AgentOps, CI/CD, and observability
• Strong understanding of regulated financial services environments
• Proven experience implementing AI risk controls, model governance, and auditability
• Ensure alignment with FCA, PRA, data privacy, model risk management, and LBG internal policies
• Knowledge of banking processes: retail banking, lending, payments, compliance
• Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring
• Hands on expertise with cloud AI platforms (GCP)
• Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability
• Experience architecting scalable real time, batch, and streaming inference systems with clear performance and reliability requirements
• Familiarity with secure cloud patterns, IAM, VPC design, and data protection

Founding Engineer Manchester (Hybrid) AI Product / Mobile / SaaS The Opportunity Were working with an early-stage, mission-led software business looking to hire a Founding Engineer to play a key role in the next evolution of their product. The business already has a live platform and strong market relevance the next phase is about rebuilding and improving the product for the AI era , with a particular focus on user experience, intelligent workflows, and mobile-first product thinking . This is a rare opportunity to join at a genuinely influential stage, working directly with the founders to help shape what gets built, how it gets built, and where the product goes next . If youre the kind of engineer who enjoys owning product problems , building in ambiguity, and turning ideas into shipped features, this is a very interesting role. What Youll Be Doing Taking a hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders to turn product ideas into scalable, high-quality software Identifying where AI can genuinely improve customer outcomes not just where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What Were Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale-up, or high-ownership environments Experience working on customer-facing applications , ideally with some exposure to mobile / app-led products Practical experience using AI in production, including areas like: LLMs prompt engineering AI-assisted workflows agent-based functionality Comfortable working across product, engineering, and technical problem-solving A strong builder mindset someone who enjoys getting things live, improving products, and solving meaningful user problems Comfortable in a fast-moving, founder-led environment Nice to Have Experience with consumer products , engagement-led products, or behaviour-driven applications Exposure to open banking , fintech, or data-led products Experience working as an early technical hire or in a Founding Engineer / first product engineer type role Interest in helping shape technical direction as the business grows Why Join Founding-level opportunity with genuine ownership Direct access to founders and product direction Opportunity to help shape an AI-native product in a meaningful way High-impact role where you can influence both what gets built and how it gets built Hybrid working in Manchester Equity opportunity as part of the package TPBN1\_UKTJ

Software Engineer (Golang / AWS) Our client based in Greater Manchester is currently looking for skilled Golang Software Engineer to design, develop, and maintain secure, high-performance software solutions in AWS. You will work closely with architects, front-end developers, QA, and product teams to deliver scalable services. This includes developing microservices, RESTful APIs, and leveraging serverless technologies while applying engineering best practices.

Key Responsibilities: Build and maintain robust, scalable backend solutions using Go.

Develop serverless applications in AWS (Lambda, SST).

Implement CI/CD pipelines and automated testing frameworks.

Build and document APIs using OpenAPI standards.

Work with NoSQL data stores, including DynamoDB.

Apply strong security principles in all software design.

Collaborate in Agile squads to deliver solutions efficiently.

Explore GenAI tools to accelerate development.

Skills & Experience:

Proven experience developing software using Go.

Experience with AWS serverless architecture.

CI/CD and automated testing expertise.

RESTful API and microservices development.

Familiarity with DynamoDB or similar NoSQL databases.

Comfortable communicating complex technical issues clearly.

Knowledge of Agile/Lean methodologies.

What We Offer:

Hybrid working to balance remote and on-site time.

Career growth opportunities in a high-impact fintech environment.

Competitive benefits including pension, 2328 days holiday, wellness and charity days, birthday and wedding leave.

Interested? Please Click Apply Now!Software Engineer (Golang / AWS)

TPBN1_UKTJ

Were looking for someone rare.
Not a traditional developer.Not someone whos just played around with AI tools.
Someone who lives and breathes this space.
The opportunity
Everlinked is evolving.
Weve spent nearly 20 years building trust in the manufacturing space through recruitment. Now, were seeing a clear shift:
Business owners know they need AI.They dont know where to start.They dont have anyone they trust to guide them.
Were building that bridge.
Were already working on real systems for clients and this role is about helping us go all in.
What youll be doing
Youll work directly with the founder to:
Design and build agentic AI systems for real-world business useTurn commercial ideas into working applications quicklyBuild internal tools to improve how we operateDevelop client-facing systems across multiple industries (primarily manufacturing)Own and shape the technical direction of what we build
This isnt theory.This isnt sandbox work.
Youll be building systems that actually get used.
The type of person were looking for
You are:
Deeply curious youre constantly learning, testing, breaking, rebuildingTechnically sharp comfortable with APIs, scripting, and system designObsessed with AI this isnt a trend to you, its your worldCommercially aware you understand that the end goal is useful, working systemsSecurity-conscious you think about how things hold up in the real worldBuilder mindset youd rather ship something than talk about it
Youve likely:
Studied something relevant (Computer Science, AI, etc.) or are self-taught to a high levelSpent serious time experimenting with LLMs, agents, automation toolsBuilt things side projects, tools, systems not just tutorialsTech & tools (indicative, not exhaustive)LLMs (OpenAI, Anthropic, open-source models)Agent frameworks / autonomous workflowsReplit / cloud environmentsAPIs, integrations, data pipelinesBasic frontend/backend understandingSecurity fundamentals
You dont need to know everything but you need to be able to figure anything out.
How we workOffice-based in NewquayFast-moving, low ego, high ownershipYoull work across two businesses:Building internal systemsBuilding client-facing AI solutions
This is a chance to be early in something thats going to grow quickly.
Why this role is different
You wont be:
Maintaining legacy codeWorking in a slow corporate environmentBuilding things that never get used
You will be:
Shaping how real businesses adopt AIBuilding systems from scratchWorking directly with decision-makersSeeing your work deployed and making an impactFinal note
We dont expect you to tick every box.
But we do expect:
IntelligenceCuriosityObsession with the space
If that sounds like you we should talk.

Position: Data Modeller
Location: London, UK (Hybrid-2 days from office)
6 months contract position

The Role

In this role, you will define the data blueprints and foundational models that underpin how customers in dynamic, data intensive industries operate, scale, and innovate. You will design robust, future ready data models that enable seamless integration, advanced analytics, and AI driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and leading modelling frameworks, you will guide engineering, analytics, and architecture teams in building secure, scalable, and well governed data structures. This role empowers you to shape end to end data ecosystemsaccelerating delivery, enhancing data clarity, strengthening operational resilience, and driving organisations toward a more insight rich, data enabled future.

Your responsibilities:

Define and maintain conceptual, logical, and physical data models that accurately reflect business processes and support analytics, AI/ML, and operational needs.

Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models.

Establish and enforce GDM modelling standards and naming conventions (e.g., normalization, dimensional/star/snowflake patterns, data vault where appropriate).

Design dimensional models (facts, dimensions, hierarchies, slowly changing dimensions) for BI/analytics and performance at scale.

Create and manage canonical data models and semantic layers to enable consistent metrics and self-service analytics across domains.

Ensure data quality by designdefine integrity rules, reference/master data relationships, and validation checks embedded in pipelines.

Optimise models for performance and cost (partitioning, clustering, indexing, compression, surrogate keys, distribution strategies).

Drive data integration design across sources (CDC, event streaming, APIs), mapping source-to-target, resolving conflicts, and handling historical changes.

Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas.

Embed privacy and security requirements into models (PII classification, minimisation, masking, role-based access, retention, and residency).

Your Profile

Essential skills/knowledge/experience:

• Proven experience delivering conceptual, logical, and physical data models for cloud data platforms, ideally GCP
• Strong hands-on modelling for Big Query (analytical/columnar patterns, denormalization strategy, partitioning & clustering considerations)
• Expertise in data modelling approaches: 3NF, dimensional (Kimball), Data Vault, and hybrid patterns for Lakehouse designs

Maintain versioned model artefacts (ERDs, schema scripts, JSON/YAML specs) and change logs; manage controlled evolution of models.

• Ability to translate banking domain requirements (Customer, Accounts, Payments, Credit, Risk, Finance) into scalable canonical models
• Strong understanding of Big Query performance and cost optimisation impacts driven by modelling choices (query patterns, storage, scan costs)
• Experience designing data products for analytics and reporting with trusted definitions (facts, dimensions, SCD, conformed dimensions)
• Strong knowledge of data governance: metadata management, lineage, stewardship, data quality rules, and critical data elements

Proficiency with data modelling tools such as ER/Studio, Power Designer, ERWin, SQL Developer Data Modeler, or equivalent cloud-native tools.

• Familiarity with GCP ecosystem integration (e.g., Cloud Storage, Dataflow/Dataproc, Pub/Sub) and how ingestion patterns influence modelling

Desirable skills/knowledge/experience:

Experience supporting regulatory, risk, and audit needs through traceability, controlled definitions, and clear lineage to source systems

Capability in defining and enforcing enterprise standards (naming conventions, reference data, code sets, data contracts)

Experience with model versioning, impact analysis, and change control across multiple downstream consumers

Ability to partner closely with data engineers and architects to drive physical implementation, testing, and production readiness

Strong communication skills to explain complex data structures to both technical and non-technical stakeholders

Comfortable operating in Agile delivery: contributing to user stories, acceptance criteria, design assurance, and documentation

Solid understanding of data modelling techniques such as normalization, denormalization, Data Vault, semantic modelling, and canonical models.

Familiarity with master data management (MDM), reference data frameworks, and designing conformed dimensions.

Proficiency in SQL and data profiling to validate models against source data and ensure completeness/consistency

Founding Engineer

Manchester (Hybrid)

AI Product / Mobile / SaaS

The Opportunity

Were working with an early-stage, mission-led software business looking to hire aFounding Engineerto play a key role in the next evolution of their product.

The business already has a live platform and strong market relevance the next phase is aboutrebuilding and improving the product for the AI era, with a particular focus onuser experience, intelligent workflows, and mobile-first product thinking.

This is a rare opportunity to join at a genuinely influential stage, working directly with the founders to help shapewhat gets built, how it gets built, and where the product goes next.

If youre the kind of engineer who enjoysowning product problems, building in ambiguity, and turning ideas into shipped features, this is a very interesting role.

What Youll Be Doing

• Taking a hands-on role in the evolution of the core product and mobile experience
• Building and shipping features usingmodern AI tooling, includingLLMs, prompt engineering, and agent-based workflows
• Improving and shaping the user experience through better product thinking, architecture, and delivery
• Working closely with the founders to turn product ideas into scalable, high-quality software
• Identifying where AI can genuinely improve customer outcomes not just where it looks good on a roadmap
• Making practical decisions aroundarchitecture, integrations, tooling, and technical direction
• Helping establish the foundations for the future engineering roadmap and team

What Were Looking For

• Stronghands-on software engineeringbackground
• Experience building and shippingreal productin startup, scale-up, or high-ownership environments
• Experience working oncustomer-facing applications, ideally with some exposure tomobile / app-led products
• Practical experience using AI in production, including areas like:
• LLMs
• prompt engineering
• AI-assisted workflows
• agent-based functionality
• Comfortable working across product, engineering, and technical problem-solving
• A strongbuilder mindset someone who enjoys getting things live, improving products, and solving meaningful user problems
• Comfortable in afast-moving, founder-led environment

Nice to Have

• Experience withconsumer products, engagement-led products, or behaviour-driven applications
• Exposure toopen banking, fintech, or data-led products
• Experience working as an early technical hire or in aFounding Engineer / first product engineertype role
• Interest in helping shape technical direction as the business grows

Why Join

• Founding-level opportunity with genuine ownership
• Direct access to founders and product direction
• Opportunity to help shape anAI-native productin a meaningful way
• High-impact role where you can influence bothwhat gets built and how it gets built
• Hybrid working inManchester
• Equity opportunity as part of the package

AI Product Lead / Manchester or London / £110,000 + Bonus

We’re partnered with a high-growth, PE-backed organisation at the forefront of applied AI, who are looking to appoint an AI Product Lead to drive the vision, strategy and delivery of their flagship AI platform.

This is a senior, high-impact role where you will take ownership of shaping how AI is used to solve complex, real-world problems for major enterprise clients across regulated and data-heavy industries. Working closely with the Chief Product Officer, you’ll play a pivotal role in defining product direction, bringing structure to discovery and delivery, and converting AI capability into production-ready, revenue-generating products.

The business is scaling rapidly, with a strong customer pipeline and significant investment. This role suits someone who thrives in fast-paced startup/scale-up environments and enjoys full ownership, from defining the problem, to prototyping, through to shipping features into production.

If you’re motivated by building AI products that have tangible commercial and user impact, this is the opportunity to take something with huge potential and lead it into its next phase of growth.

What do we need from you?

• Proven experience delivering AI-led or ML-driven products into production (not just discovery or concept).
• Examples of taking product features from customer need ? prototype ? shipped product in real customer environments.
• Experience working in startup or scale-up businesses (Seed ? Series A-D ideal), where speed, adaptability and hands-on ownership are essential.
• Ability to define and own a product vision, build roadmaps, prioritise effectively and bring structure to delivery.
• Background operating as a Product Lead / Senior Product Manager, influencing strategy while still being close enough to delivery to drive outcomes.
• Strong problem-solving skills with a track record of turning complex challenges into clear, deliverable product solutions.

The Role

As AI Product Lead, you will own the strategy, roadmap and delivery of a next-generation AI product used to automate, interpret and solve complex information-rich workflows for enterprise clients.

You’ll work closely with the CPO and founding team to establish a disciplined product function while maintaining the creative, fast-moving pace of a scale-up.

This is a hands-on strategic role: you’ll shape the vision, validate customer problems, develop prototypes, and lead the delivery of features into production environments.

Key Focus Areas

Product Ownership & Vision

• Define and deliver the AI product roadmap aligned to commercial strategy
• Establish product discipline, structure and processes within a scaling organisation
• Translate customer and market needs into clear product requirements

AI-Led Product Development

• Lead the creation and delivery of AI features, ensuring models, workflows and outputs reach production
• Partner with engineering and data science teams to convert capability into usable customer experiences
• Ensure product decisions are driven by insight, experimentation and measurable outcomes

Hands-On Delivery & Execution

• Work closely with the CPO to drive feature delivery from concept to launch
• Own prototyping, hypothesis testing and iterative development
• Take responsibility for shipping features, not just defining them

Customer & Market Impact

• Engage directly with enterprise customers to validate use cases and gather feedback
• Prioritise features based on customer value, revenue impact and AI feasibility
• Support go-to-market planning and readiness

What’s on Offer?

• Up to £110,000 salary
• Opportunity to take ownership of a high-growth AI product in a PE-backed scale-up
• Build and lead the next evolution of the product function
• Work directly with a highly credible CPO and founding team
• Shape and ship AI products used by major enterprise clients
• Ability to make a visible impact in a business scaling rapidly
• Hybrid - 1-2x a month

Why Join?

This is a rare chance to take charge of an AI product with huge market potential and move it from founder-led to product-led.
You’ll own the future direction of the product, work with cutting-edge AI capabilities, and play a critical role in driving commercial value.
If you thrive in environments where you can combine strategic ownership with hands-on delivery, this role gives you the platform to build something with real impact.

If you’re interested in learning more, please apply or send your CV over to Dominic Brown - with a time to discuss the opportunity in more detail.

Software Cyber Engineer - Python - Remote (UK)
Salary: Up to £75,000 DOE
Location: Fully remote (UK)

A growing technology-focused cyber security organisation is seeking a motivated Software Engineer with strong Python skills to contribute to the development of internal data-driven platforms. This role involves building and improving systems that gather, process, and analyse large datasets to support research and operational decision-making.

Key Responsibilities

• Develop and enhance a Python-based Cyber Security platform, ensuring it remains scalable, stable, and capable of handling high data volumes
• Build and maintain automated cyber event data pipelines to ingest and process information from multiple internal and external sources
• Refine existing systems and workflows to improve performance, reliability, and efficiency
• Support system availability through monitoring, logging, and general platform maintenance

Core Requirements

• 3+ years of experience in software engineering
• Strong proficiency in Python, including experience with web frameworks (e.g. Django) and automation pipelines
• Experience designing scalable systems, working with containerised environments, and building automation workflows
• Familiarity with modern AI tools/LLM to enhance productivity or automate processes
• Experience handling large-scale data ingestion and processing, with exposure to search or analytics technologies
• Understanding of cloud environments (AWS, Azure, or GCP), infrastructure-as-code, and CI/CD practices
• Experience developing internal tools, automation frameworks, or contributing to technical projects
• Exposure to fast-paced or scaling environments, with the ability to adapt to changing priorities
• A background in cybersecurity / understanding of the principles of attacks (desirable)
• Proactive mindset with a focus on continuous improvement
• Ability to quickly learn and apply new technologies

If you are an experienced Software Engineer with significant python experience, please click ‘Apply Now’ or send your CV to faye . landells @ circlerecruitment . com

You must be based in and have full unrestricted right to work in the UK. Unfortunately our client is not able to consider applicants who require sponsorship and / or relocation.

Keywords: Software Engineer / Cyber Security Engineer / Python / AI / LLM / Cloud / Remote / UK

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Hiring: Celonis Process Mining Data Engineer

Location: London, UK (Hybrid)

Employment Type: Contract

We are seeking aCelonis Data Engineerto join a leadingfinancial services organization, playing a critical role in transforming complex banking data into actionable process insights. This role is key to enabling adata-driven, insight-led operating modelwithin a highly regulated environment.

Key Responsibilities:

1?? Data Engineering & Event Log Construction

• Design, build, and maintainrobust event log pipelinesfor process mining in Celonis
• Translate raw process data into structuredevent logs (Case ID, Activities, Timestamps, Attributes)
• Develop scalable, reusable, and high-performance event log frameworks

2?? Data Model & Pipeline Development

• Build and optimizeETL/ELT pipelinesfrom multiple source systems
• Managedata ingestion, transformation, and refresh cyclesfor Celonis datasets
• Design and optimizeprocess mining data models (CCPM & OCPM)
• Handlelarge-scale transactional datasetswhile ensuring process integrity and traceability

3?? Performance Optimization & Data Quality

• Optimize queries, transformations, and data models forperformance and scalability
• Performdata validation, reconciliation, and root cause analysis
• Identify and resolvedata quality issueswith proactive remediation strategies

4?? Collaboration & Documentation

• Collaborate withprocess analysts, business stakeholders, and functional teams
• Documentdata models, ETL logic, and event log definitions
• Enableanalysis-ready datasetsfor business users within Celonis

5?? Governance & Best Practices

• Ensure compliance withdata governance, security, and audit standards
• Apply best practices includingversion control, modular design, and monitoring
• Supportcontinuous improvement and optimization initiatives

Required Skills & Experience

• Strong experience indata engineering for process mining using Celonis
• Hands-on expertise inevent log creation, data pipelines, and transformation frameworks (CCPM & OCPM)
• Strong proficiency inSQL and Python
• Solid understanding ofdata modeling and ETL/ELT concepts
• Experience working withlarge datasets and optimizing analytical workloads

Nice to Have

• Understanding ofprocess mining concepts and analytical data structures
• Experience inBanking / Financial Services (BFSI)
• Exposure toKYC Operations
• Strongdocumentation, analytical, and stakeholder management skills

We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn’t just about moving data; it’s about modernizing essential services and delivering secure, reliable data products at scale. You will play a pivotal role in shaping engineering design, mentoring talent, and helping our clients reimagine what’s possible through technology.

Data Engineer (AWS)

Location: Telford / Worthing Base Locations (Hybrid 2-3 days onsite)Salary: £55,000 - £70,000 + Bens, Perks, Healthcare Options, Unlimited Training Budget Security Clearance: Must be eligible for SC Clearance (5+ years UK residency)Sector: Public Sector & Government Client

Build the Data Infrastructure That Powers the Public Sector

We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn’t just about moving data; it’s about modernizing essential services and delivering secure, reliable data products at scale. You will play a pivotal role in shaping engineering design, mentoring talent, and helping our clients reimagine what’s possible through technology.

The Role

As a Senior member of our engineering team, you will:

• Design & Implement: Create robust, secure, and performant data integration solutions (both batch and near-real-time).
• Build & Optimize: Develop and improve end-to-end data pipelines-from ingestion to curation-ensuring high availability through rigorous monitoring and alerting.
• Collaborate: Work closely with product teams and client stakeholders to align technical decisions with cost, performance, and security requirements.
• Innovate: Support incident resolution and contribute to our internal Engineering Communities of Practice.
• Lead: Actively participate in Agile ceremonies and mentor junior colleagues to grow our collective capability.

Your skills and experience ?

• Strong SQL and hands-on experience with data modelling.
• Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
• Experience with databases/data platforms (ideally Oracle or Cloudera)
• Knowledge of cloud platforms (ideally AWS)
• Good experience with programming/scripting languages (e.g. Python, Bash).
• Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
• Excellent client-facing and consultancy skills.

NOTE: This role requires Security Check (SC) clearance. To be eligible, you must have resided continuously in the UK for the last 5 years.

Interested? Apply now or send your CV

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales)

Were hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers.

This is a customer-facing pre-sales / solution engineering role where youll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams.

Key Responsibilities

• Design and deliver AI / GenAI solutions aligned to customer use cases
• Build and showcase POCs, demos and technical presentations
• Work with LLMs, LangChain, OpenAI APIs and AI agents
• Support solution architecture, APIs, integrations and cloud deployments
• Collaborate across GTM, sales and engineering to refine offerings

Requirements

• Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting
• Strong knowledge of LLMs, Generative AI, Machine Learning
• Hands-on with LangChain, OpenAI, GPT or similar tools
• Programming experience in Python
• Experience with APIs, integrations and REST services
• Cloud exposure: AWS, Azure or GCP
• Proven experience delivering POCs, demos or customer-facing solutions

Desirable

• Experience building AI-powered enterprise solutions
• Background in startups or high-growth environments
• Exposure to AI agents or agentic workflows

This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions.

• Senior C++ Software Engineer - Systematic Trading
• 12-month contract - £600 to £850/day (Inside IR35)
• Global Trading & Supply | High-Performance Systematic Trading Technology

As a Senior C++ Software Engineer, you’ll work closely with technologists, quants, and traders to design, optimise, and scale our in-house global derivatives and systematic trading platform. You’ll operate across the full stack of proprietary trading technology - from ultra-low-latency exchange connectivity to strategy engines - with the autonomy and impact expected in a high-performance engineering culture.

You will be instrumental in ensuring ultra-low latency, deterministic performance, reliability, and scalability while shaping the next generation of our systematic and algorithmic trading systems.

What You’ll Work On Exchange Connectivity

• Develop software that interacts with major global futures exchanges using native APIs & protocols (FIX, WebSocket, HTTP).
• Maintain and extend testing suites ensuring robust, consistent connectivity.
• Optimise exchange communication through Kernel bypass, TLS tuning, and advanced networking techniques.
• Study and align with detailed exchange behaviours and microstructure.
• Work across C++, Rust, Python, and Typescript as needed.

Systematic & Algorithmic Trading

• Build and enhance systematic trading strategies from quant and trader requirements.
• Improve performance, reliability, and stability of the systematic and algorithmic trading engines.
• Enhance monitoring, observability, and analytics for Real Time trading operations.
• Diagnose and resolve production issues (crashes, logic inconsistencies, latency bottlenecks).
• Support systematic strategy deployment, backtesting workflows, and release preparation.

Technical Experience

• 5+ years post-graduation C++ in financial markets, ideally in high-performance, low-latency environments.
• Strong background in multi-threaded, asynchronous, and distributed systems.
• Deep knowledge of algorithms, data structures, and performance optimisation.
• Understanding of the full exchange-traded derivatives life cycle.
• Strong Scripting & automation skills (Python, PowerShell, C#, SQL, etc.).
• Proven experience with application deployment best practices and proactive system monitoring.

Industry Experience

• 8+ years in Trading, Systematic Trading, Capital Markets, or Investment Banking environments.
• Familiarity with global futures exchanges and their native protocols.
• Exposure to systematic or quantitative trading environments highly desirable.

Zensar is a leading digital solutions and technology services company that specialises in partnering with global organisations across industries in their Digital Transformation journey. Zensars Return on Digital strategy has enabled customers to look beyond current investments towards realising visible business benefits in their digital transformation journey. If youre looking for a workplace where associates realise and contribute to their full potential, are recognised for the impact they make, and enjoy the company of the people they work with, then youve come to the right place! Role description: This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works. Duties and Responsibilities Delivery & Architecture Own end-to-end delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding & Development Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use Debug non-deterministic agent outputs systematically - not by gut feel Client & Stakeholder Engagement Translate business problems into agent architectures for global CXO-level stakeholders Run discovery workshops, solution reviews, and delivery cadences with client teams Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice Mentor junior AI engineers; raise AI engineering quality across the delivery team Stay current: evaluate new models, frameworks, and tooling before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Technical Skills Required Proven experience of: Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python / TypeScript: Primary languages for agent + backend development LangSmith / Observability: Tracing, evaluation, debugging agent runs Cloud Platforms: Azure, AWS, GCP (at least one) - deployment, infra, managed services API & System Integration: REST, gRPC, Kafka - enterprise integration patterns MCP / Shared Context: Model Context Protocol, CLAUDE.md, Beads Agent Evaluation: Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps: Git, containers, pipelines - agents need to ship Client Communication: Can present architecture to a CXO without jargon Must have: Deployed 23 agent-based systems in production - stateful, multi-step, real users Used LangGraph for multi-agent orchestration with memory, tool routing, and state management Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation Integrated agents with real enterprise APIs - not just OpenAI playground or sample data Debugged a production agent failure - and fixed it without blaming the model Can articulate when NOT to use agents - that is how we know you have built things Bonus - Real Differentiators Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows) Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling QA/testing mindset for agents - systematic evaluation of non-deterministic outputs Background in IT services or consulting - managing client expectations while building Experience with SLMs, fine-tuning, or on-device/edge agent deployment Qualification: Must be educated to at least degree level or equivalent.

ROLE SUMMARY

The AI Product Lead is a product management role within the AI Capability function, responsible for defining, prioritizing and driving AI initiatives from strategy and roadmap through to delivery. Product management is the core of this role, bringing structure, strategic thinking and roadmap discipline, with technical ownership and AI innovation as secondary but integral capabilities that give the role genuine credibility in a fast-moving, technically complex environment. Reporting to the AI Capability Lead, the AI Product Lead works closely with Creative Builders, engineers and contractor PODs to shape what gets built and ensure it gets built well. You will own the product roadmap for AI initiatives, translating business priorities into clear, sequenced delivery plans, managing scope, dependencies and risks across concurrent workstreams. This role sits at the point where strategy meets execution, ensuring what is delivered is robust, commercially relevant and fit for enterprise adoption. The ideal candidate is a technically fluent product or programme manager, someone whose technical depth is what makes them effective in this role, not an optional extra. You will have worked closely with engineers, data teams and AI practitioners, and be confident evaluating technical approaches, identifying risks and making credible judgement calls on what gets built and how. You understand enough about how AI solutions are designed and built to genuinely shape them, own the roadmap with conviction, and hold contractors to account on quality and approach.

ROLE RESPONSIBILITIES

• Plan and manage AI initiatives from intake through to delivery, ensuring technical approach, tooling selection and solution design are clearly defined and agreed with engineering teams, and that decisions remain grounded in business requirements and technical best practice.
• Own the product roadmap for AI initiatives, defining and prioritizing what gets built, sequencing work against business value and strategic need, maintaining a clear backlog, and ensuring Creative Builders, contractor and vendor teams are working on the right things at the right time.
• Assess and challenge technical approaches across the portfolio, bringing sufficient technical fluency to evaluate AI architectures, LLM integrations and automation frameworks for feasibility, quality, compliance and scalability, and to push back confidently where approaches fall short or introduce unacceptable risk.
• Lead and coordinate multiple contractor teams and vendor pods, providing technical direction and delivery oversight across parallel workstreams, managing performance and ensuring output meets the required standard.
• Serve as the technical bridge between business stakeholders and engineering teams, translating ambiguous requirements into precise technical specifications, and maintaining alignment between stakeholder intent and engineering execution throughout delivery.
• Manage vendor relationships and contractor performance, including SoW delivery, milestone tracking and quality assurance, with sufficient technical depth to identify risks and challenge delivery approaches when needed.
• Define and embed standards for AI delivery at scale, covering development practices, quality gates, tooling norms and delivery frameworks, and actively support the rollout and adoption of these standards across vendor and contractor teams.
• Support the transition of completed AI initiatives into scaled delivery by managing knowledge transfer, technical documentation and acceptance criteria with Delivery, GSO and the wider C4 organisation.
• Define, track and report on project-level KPIs and OKRs, covering delivery velocity, technical quality and operational readiness, and using insights to improve approach and report progress to the AI Capability Lead.

BASIC QUALIFICATIONS

• Experience in product management or technical programme management, with a demonstrable track record of owning roadmaps and driving AI or digital initiatives in large-scale enterprise environments. Candidates must bring genuine technical fluency, not just familiarity with technical environments, the ability to engage with engineers, evaluate approaches and make credible technical judgements is a core requirement of this role.
• Hands-on technical fluency with AI and digital technologies, including GenAI platforms, LLMs, automation frameworks, agentic tools and integration patterns, sufficient to evaluate approaches, challenge engineers and make credible technical decisions.
• Proven experience managing and coordinating multi-vendor contractor teams and external delivery pods, with the ability to provide technical direction, manage performance and hold suppliers to account.
• Strong product ownership skills, including backlog management, acceptance criteria definition, prioritization and stakeholder alignment, across complex, cross-functional AI delivery programmes.
• Ability to translate ambiguous business requirements into precise technical specifications and delivery plans, maintaining alignment between stakeholder intent and engineering execution.
• Strong delivery instincts, comfortable managing scope, timelines, dependencies and change across multiple concurrent workstreams in fast-moving environments.
• Working knowledge of GenAI stacks (LLMs, vector stores, agents, orchestration, guardrails), data governance, security and compliance requirements in an enterprise context.
• Excellent communication skills with the ability to engage credibly at both technical and executive level, and to translate complex technical concepts for non-technical audiences.
• Formal qualification in project management (e.g. PMP, PRINCE2 Practitioner) and/or a technical discipline (computer science, engineering, AI/ML) preferred.

Work Location Assignment:Hybrid (some office presence is required)

Purpose

Breakthroughs that change patients’ lives… At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

DisAbility Confident

We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!

Information & Business Tech

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MSR1

INDLON

The Portfolio Group are acting on behalf of our client in recruiting for this position.

Location: Glasgow

Salary: Competitive

About Us

BiP Solutions are a SaaS business where data is at the core of everything we do. It s not just a function it s our competitive advantage. We are passionate about unlocking the full commercial value of our data to drive smarter decisions, better products, and stronger outcomes for our customers.

The Role

We re looking for a Senior Data Scientist to play a pivotal role in shaping and delivering our data strategy. This is a high-impact, hands-on position combining deep technical execution with strategic influence across the business.

You ll lead key data science initiatives, work closely with stakeholders across commercial, product, and technical teams, and help define how we leverage data as a true business superpower. Alongside this, you will mentor and manage two junior data scientists, supporting their growth and elevating the team s overall capability.

Working across the business

Reporting into our Director of Public Policy & Research, you will operate across our business, building with internal relationships with our Research & Insights, Technology, Product, Marketing and Sales functions as well as external relationships, with our wider data partners.

Given the cross-functional nature of this role, we will look for you to build, maintain, and strengthen trusted relationships across the business, ensuring data solutions are understood, embraced, and drive real commercial value.

Key Responsibilities

• Lead the design, development, and deployment of data science solutions that deliver tangible commercial value
• Work hands-on ( on the tools ) across the full data science lifecycle, from exploration to production
• Shape and contribute to the company s evolving data strategy
• Manage and mentor a team of two Data Scientists
• Promote best practices in data science, including experimentation, model validation, and reproducibility
• Communicate complex findings clearly to both technical and non-technical audiences

What We re Looking For

• Proven experience in a Senior Data Scientist or similar role, ideally within a SaaS or data-driven environment
• Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling)
• Experience delivering data-driven solutions with measurable commercial impact
• Exposure to or experience with Elastic (Elasticsearch) is highly desirable
• Demonstrated experience managing or mentoring junior team members
• Excellent stakeholder management skills, with the ability to influence across multiple functions
• Strong problem-solving mindset with a proactive, commercially focused approach

Why Join Us?

• Be at the heart of a business where data truly drives decision-making
• Shape the future of our data capability and strategy
• Work on meaningful, high-impact projects with real commercial outcomes
• Opportunity to lead, mentor, and grow a talented data team
• Collaborative, fast-paced SME environment with real ownership and visibility

To Apply

If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Our client based in Greater Manchester is currently looking for skilled Golang Software Engineer to design, develop, and maintain secure, high-performance software solutions in AWS. You will work closely with architects, front-end developers, QA, and product teams to deliver scalable services. This includes developing microservices, RESTful APIs, and leveraging serverless technologies while applying engineering best practices.

Key Responsibilities:

• Build and maintain robust, scalable backend solutions using Go.
• Develop serverless applications in AWS (Lambda, SST).
• Implement CI/CD pipelines and automated testing frameworks.
• Build and document APIs using OpenAPI standards.
• Work with NoSQL data stores, including DynamoDB.
• Apply strong security principles in all software design.
• Collaborate in Agile squads to deliver solutions efficiently.
• Explore GenAI tools to accelerate development.

Skills & Experience:

• Proven experience developing software using Go.
• Experience with AWS serverless architecture.
• CI/CD and automated testing expertise.
• RESTful API and microservices development.
• Familiarity with DynamoDB or similar NoSQL databases.
• Comfortable communicating complex technical issues clearly.
• Knowledge of Agile/Lean methodologies.

What We Offer:

• Hybrid working to balance remote and on-site time.
• Career growth opportunities in a high-impact fintech environment.
• Competitive benefits including pension, days holiday, wellness and charity days, birthday and wedding leave.

Interested? Please Click Apply Now! Software Engineer (Golang / AWS)

Product Manager Are you a Product Manager who wants to shape how AI transforms real-world professional services, rather than just building models in isolation?

We’re working with a forward-thinking organisation investing heavily in AI to enhance client outcomes and internal workflows. They’re looking for a Product Manager to lead AI-driven initiatives across legal and operational processes, with a strong emphasis on product thinking, stakeholder engagement, and delivery.

What’s in it for you?

• Salary up to £65,000
• Hybrid working across East Anglia offices (Ipswich, Cambridge, Norwich, Chelmsford)
• Private healthcare and strong pension offering
• Bonus and profit share scheme
• Flexible working culture with genuine work-life balance
• Clear progression within a growing digital function

What you’ll be doing

• Own and shape the AI product roadmap aligned to business goals
• Lead a cross-functional squad across product, engineering, and data
• Work closely with stakeholders to identify opportunities for AI-driven improvements
• Translate complex AI capabilities into clear, user-focused solutions
• Drive discovery, workshops, and continuous product improvement
• Ensure products meet regulatory, legal, and responsible AI standards
• Use data and insights to measure success and guide decisions

Tech & environment

• AI/ML concepts including LLMs, NLP, and automation tools
• Agile product delivery
• Workflow optimisation and service design
• Regulated, data-sensitive environments
• Strong focus on UX and user journeys

What we’re looking for

• Proven experience as a Product Manager in a digital or tech environment
• Strong stakeholder management and communication skills
• Experience delivering products in agile environments
• Understanding of AI concepts without needing to be hands-on technical
• A product mindset with a focus on outcomes and user value
• Comfortable working in regulated or complex environments

If you’re excited about owning impactful AI products and shaping how technology improves professional services, we’d love to hear from you.

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.

Remote (UK) | London preferred

This is not a typical Data Architect position.

A growing data consultancy is looking to bring in a Databricks specialist who can combine hands-on delivery with client-facing pre-sales involvement. This is a key hire within the business, with a strong focus on long-term impact.

If you enjoy working across both solution design and delivery, this role offers a genuine blend of both.

The Role

You’ll be involved across the full project life cycle, from early client engagement and solution shaping through to hands-on implementation.

This role requires someone comfortable operating across both technical and commercial conversations.

Key responsibilities include:

• Designing and delivering modern data platforms using Databricks
• Supporting early-stage client discussions, including solution design, effort sizing, and commercials
• Presenting ideas and approaches to stakeholders
• Delivering end-to-end data solutions, from early concept through to production
• Collaborating with distributed teams
• Acting as a trusted advisor, balancing technical quality with commercial outcomes

What We’re Looking For

This is an architect-level role, requiring both credibility and recent hands-on experience.

You’ll ideally have:

• Strong, recent experience with Databricks in a delivery environment
• A background in consulting or client-facing project work
• Exposure to pre-sales or solution shaping activities
• Good commercial awareness and the ability to assess viable solutions
• Confidence working directly with stakeholders

Technical Experience

• Databricks, Spark, Delta Lake, PySpark
• Building scalable data pipelines and modern data platforms
• Data modelling experience (eg 3NF, dimensional, or similar approaches)
• Experience with reporting/visualisation tools
• Programming in Python, SQL, or Scala
• Exposure to at least one major cloud platform (Azure, AWS, or GCP)

Nice to Have

• Exposure to data governance or cataloguing tools
• Experience with ML/AI workloads
• Familiarity with DevOps or Infrastructure as Code
• Relevant certifications

Why Consider This Role?

• Opportunity to influence both technical delivery and pre-sales direction
• Work on complex, enterprise-scale data challenges
• Strong emphasis on hands-on expertise and real-world delivery
• Collaborative, consulting-led environment