Company description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Job description We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Why consider joining our Digital & Data community? ?? Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect ?? Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. An environment that deeply cares about its values Values | PA Consulting We're hands-on with emerging technologies - exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Software engineers with a passion for AI - or data scientists who've embraced engineering. People who experiment, prototype, and explore emerging AI tools in their own time. Strong foundation in a language suited to AI system development and data workflows. Experience integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Assessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round ??: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' 's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on #LI-MB1 To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.

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.

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Company description What You Do At AMD Changes Everything At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Job description We are currently seeking a Physical AI Senior Software Engineer to join our Customer eXperience Engineering (CXE) team, which is part of AMDs Embedded Computing Group. This is an exciting opportunity to work within a highly strategic and important part of AMDs business, targeting the next generation of Embedded & AI technologies and tools to meet the needs of our customers. As part of the CXE team you will act as Customer Zero, developing industrial proof of concept system solutions on our next generations of Embedded products. You will provide a customer perspective to influence the architecture of our next generation silicon, software and tools. The successful candidate will lead the development of Embedded software platforms that can enable Physical AI systemsAI that perceives, reasons, and acts in the physical world. This role combines hands-on technical depth in embedded software (C/C++, RTOS, Linux/Yocto) with strong people leadership, system-level thinking, and close collaboration across hardware, software, and AI teams. You will part of a high-performing team responsible for real-time, safety-aware, resource-constrained software that bridges silicon, firmware, operating systems, middleware, AI and other runtime stacks. As a key contributor, you will work alongside a diverse and experienced design team that will enable enormous opportunities for learning and self-development. Key Responsibilities Provide technical direction and architectural leadership for embedded software stacks spanning: RTOS-based systems Embedded Linux platforms (Yocto) Device drivers, BSPs, middleware, etc AI Solutions Lead system-level design decisions balancing latency, determinism, power, memory, safety, and performance Guide the integration of AI/ML workloads (inference pipelines, sensor fusion, control loops) into real-time and embedded Linux environments Support bring-up, debugging, and root-cause analysis across the full HW/SW stack Act as a mentor to the embedded software team Required profile Technical Expertise 7+ years of experience in embedded software development, with significant time in C/C++ Strong hands-on experience with RTOS (e.g., FreeRTOS, Zephyr, QNX, VxWorks, or equivalent) Deep knowledge of embedded Linux, including Yocto (recipes, layers, BSPs, CI integration) AI Driven Development Experience delivering software for production embedded systems Qualifications Bachelors or Masters degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline Skills: tech ai software engineer

Principal Software Engineer – AI & Innovation

Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries.

Within the newly createdAI & Innovation team, you will shape the future of the organisation’s products through cutting-edge technology, experimentation and creative thinking.

A truly exciting opportunity to influence and create something new.

Key Responsibilities

Build innovative MVPs to validate ideas and accelerate learning

Lead the design and implementation of scalable, high-performance software systems

Collaborate closely with Product, Design, QA, and Engineering teams

Evaluate, experiment and recommend new technologies, frameworks and tools

Mentor and coach engineers to create a culture of innovation and continuous improvement

Oversee code reviews and ensure delivery of high-quality maintainable software

Troubleshoot and resolve complex technical challenges

Contribute to strategic planning and align technology decisions with business goals

Essential Skills

Significant experience in a senior software engineering position

Proven experience delivering innovative AI solutions

Practical knowledge of AI and recommend tools to best suit the needs

Strong understanding of microservices and modern web architectures

Deep expertise in programming languages and frameworks

Extensive experience designing large-scale systems

Strong knowledge of AWS cloud architecture and services

Excellent problem-solving skills and a results-driven mindset

Experience mentoring and guiding technical teams to deliver

Desirable Experience

DevOps practices and CI/CD pipelines

Secure-by-design development and security best practices

Contributions to open-source projects

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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)

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Key Responsibilities

1. Analysis

• Conduct in-depth analysis of Sonar Systems using established methodologies.
• Develop appropriate models and analysis based on performance requirements collaboratively defined with the system design team, aligning with customer specifications.

2. Performance Modelling, Design Trade-offs, and Product Development

• Model performance across a broad spectrum of realistic underwater acoustic conditions.
• Evaluate sonar performance against customer requirements for inclusion in bid responses.
• Employ modelling and simulation to guide product decisions and refine Concepts of Operation/Employment, effectively quantifying the impact of Sonar System Design decisions on performance.

3. Support to Trials

• Assist in the execution of sea trials.
• Analyse trial data, assessing it against system performance requirements.
• Produce comprehensive reports on trial data analysis, drawing clear conclusions regarding trial success and the performance of the sonar system against its requirements.

4. Reporting and Collaboration

• Regularly report on the progress of assigned work to project and product development teams.
• Provide expertise during design reviews and customer presentations.

Skills, Qualifications, and Experience

• A relevant Bachelor’s degree (a higher degree is preferred) in Physics, Mathematics, Engineering or another STEM field (consideration will be given to other STEM degrees if the required skillset is demonstrated).

• It is desirable that you have experience in one or more of the following areas, preferably within the sonar or similar domain:

• Signal Processing & Data Analysis Algorithm Development (Python, MATLAB, Java)

• Detection, Classification and Localisation (DCL)

• ML / AI for DCL and Sonar analysis

• Performance Prediction Modelling

• Operational Analysis

• Trials Data Analysis

• Finite Element Analysis & Fluid Dynamics

• Transducer Design

Strong communication skills, with the ability to convey complex topics clearly and concisely to both expert and non-expert audiences.Proficiency in the use of mathematical and scientific modelling tools, such as Python or MATLAB.Proven ability to set and meet deadlines effectively.Existing or attainable Security Clearance (SC).

If you are passionate about making a significant impact in the field of Anti-Submarine Warfare and Naval Sonar technology and possess the skills and expertise we are looking for, we invite you to join our team and be part of our exciting journey.

Benefits on offer:

• Optional 9 day fortnight
• TOIL
• Flexible working hours
• 1pm finish on a Friday
• Annual bonus
• Hybrid working for certain job roles.
• Casual dress
• 25 days holiday
• Christmas shut down.
• Option to buy or sell holiday.
• Option to purchase private health care, dental, critical illness etc via salary sacrifice.
• Reward hub - discounts at over 200 online stores
• 4 x annual salary life cover
• Pension starting at 5% Employer / 4% Employee. You can select your employee contribution level from 4% to 70% (providing this sacrifice does not cause your salary to drop below the National Minimum Wage/ National Living Wage

Relocation Support

Attracting high-level talent and people that can add value and expertise, is vital to our success. Attracting and retaining brilliant people is imperative so that’s why we search across the UK for talent. We offer financial support to candidates that are considering relocating; this is considered on a case-by-case basis per role and subject to HMRC guidelines.

Nationality Requirements

Candidates must be eligible to obtain the relevant security clearance required for the role, due to the nature of the programmes we deliver for our customers.

Diverse & Inclusive Employer

Ultra Maritime is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self.

We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers.

We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.

MCS Group is delighted to be partnering with a a growing consultancy as they build out a new team in Belfast. Our client is a high-growth cloud, data, and AI engineering consultancy delivering mission-critical solutions for enterprise and scaling clients.You’ll join a team that embeds directly with clients to design and build modern, production-grade systems across web, API, and data platforms on Google Cloud.The RoleAs a Full Stack Engineer, you’ll work across modern TypeScript-based frontend and backend systems, building scalable applications powered by cloud-native and data-driven architectures.You’ll play a key role in shaping solutions that combine web applications, APIs, and AI-powered data processing.What you’ll be doingBuild end-to-end features using TypeScript across frontend (React + Vite) and backend (NestJS)Design and develop GraphQL APIs and scalable backend servicesDeploy and run applications on Google Cloud Platform Work with Cloud SQL , BigQuery, and Cloud StorageIntegrate AI-powered document processing Develop infrastructure using Terraform and DockerCollaborate closely with client teams in a high-impact, delivery-focused environmentContribute to architecture decisions and best engineering practicesWhat you’ll bringStrong experience building full stack applications with TypeScriptCommercial experience with React Backend experience with Node.js frameworks Experience designing and working with GraphQL APIsHands-on experience with Google Cloud Platform (or similar cloud platforms)Strong SQL skills and experience working with relational databasesExperience with containerisation (Docker) and infrastructure as code (Terraform)Familiarity with CI/CD pipelines (GitHub Actions or similar)Interest or experience in data platforms, analytics, or AI/ML (e.g. document processing)What’s in it for youJoin at an early stage of a fast-growing, high-impact engineering teamWork with modern technologies across cloud, data, and AIGain exposure to enterprise-scale, real-world systemsInfluence architecture and technical directionHybrid working modelCompetitive salary and comprehensive benefitsA collaborative, engineering-led culture where you’ll have real ownership and impact

To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at m.rainey@mcsgroup.jobs

Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles www.mcsgroup.jobs

MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.

Not all agencies are the same…MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.

Our client is an established buy-side Market Maker & Liquidity provider. Strong business performance means that they are actively expanding their headcount. As a consequence the opportunity has arisen for an experienced KDB Developer to work alongside their Quants and Traders. This is an exciting opportunity to take ownership of critical data and analytics capabilities in a business where your work will directly support front-office decision-making, research, and platform performance.

In addition to the base salary the firm also pays exceptional performance related cash bonuses every 6 months.

THE ROLE: KDB Developer

This position sits within a small, highly capable team focused on building, improving and supporting the firms data environment. The successful candidate will play a key role in designing and developing scalable data collection and analytics solutions, while helping ensure the platform remains robust, efficient and fit for front-office use.

You will work closely with trading and quantitative teams to deliver high-quality data pipelines, analytics tooling and monitoring solutions. The role covers the full development lifecycle, from early-stage investigation and prototyping through to implementation, testing, release and ongoing support. It offers the chance to work on real-time data challenges in a commercially important environment where performance, reliability and insight generation are central.

KEY RESPONSIBILITIES:

• Work closely with traders and quants to deliver practical solutions aligned to business needs
• Build and enhance analytics capabilities that improve visibility and insight for front-office and management teams
• Develop data ingestion pipelines to capture, organise and store high-volume internal and external data
• Create and improve frameworks that support real-time dashboards, execution analysis and market microstructure research
• Design and implement CEP processes to identify anomalies and generate actionable signals
• Maintain, troubleshoot and strengthen the stability, performance and cost-efficiency of the platform
• Contribute across the full software delivery lifecycle, including research, testing, deployment and production support

SKILLS / EXPERIENCE REQUIRED: KDB+ Developer

• 5+ years experience in data or analytics development
• Strong hands-on expertise with KDB+/q
• Solid background in Linux systems engineering, including lower-level networking and kernel knowledge
• Experience working with large-scale storage, data distribution and recovery mechanisms
• Knowledge of AWS services and Kubernetes configuration
• Experience in big data optimisation, analytics and visualisation
• Familiarity with continuous integration practices

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.

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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)

Newton Colmore is working with a highly regarded medical technology company in Cambridge, assisting them with their search for a Systems Engineer to work on their latest surgical ultrasound innovation.

The Challenge - Where physics meets surgery;

The organisation works on some of the most technically demanding problems in medical technology - intelligent surgical instruments, embedded sensing systems, robotic-assisted surgery, and real-time intraoperative imaging. Ultrasound sits at the intersection of all of it.

You won’t be applying existing solutions, you will be inventing new ones. Projects run from early feasibility through hardware prototyping, firmware, signal processing algorithms, and regulatory sign-off. You will own the ultrasound thread end-to-end in this newly created role.

What you will be working on;

Electronics and transducer architecture.

Lead design and evaluation of ultrasound transducers and the high-speed analogue/digital front-end electronics that drive them - including transmit beamforming, low-noise receive chains, and high-bandwidth ADC integration.

Signal processing and algorithm development

Develop real-time signal processing pipelines - from raw RF data through envelope detection, beamforming, and image reconstruction - with strong software implementation alongside the DSP theory.

Embedded software and system integration

Write firmware and embedded software to control ultrasound hardware, manage data acquisition, and interface with wider surgical system architectures. Comfort across C/C++, Python, and MATLAB is expected.

What you will need for this role;

You’ll need a strong grounding across ultrasound systems, with recognised depth in at least one of the areas below ideally. The electronics stack and software implementation are central to this role.

• High-speed electronics
• Transducer design
• Image segmentation
• Signal processing

What they can offer you:

The company have invested in created an environment that champions innovation, with both mentoring and autonomy for expert engineers who want to do great work. On offer is a tailored salary, based on a series of factors, as the seniority of the role can be flexible from someone who has just completed a PhD, all the way up to a senior appointment.

This comes with a bonus programme, and a market-leading pension contribution.

If you would like to know more about this exciting role then make a confidential application or reach out to Matt Lowdon, and more details can then be sent over.

Locations: London | Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You’ll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You’ll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands‑on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine‑tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re‑rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi‑agent frameworks/systems and an understanding of multi‑agent systems and their applications in complex problem‑solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph‑based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You’ll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify. #J-18808-Ljbffr

Oracle Developer, Fully Remote Working

Our client is recruiting for a skilled Oracle Developer to join our team and play a key role in delivering solutions across enterprise environments.

You will help design, develop and optimise database driven applications and integrations. Fantastic opportunity to work in a fully remote environment with a tech led company.

Duties

• Design, develop, and maintain Oracle based applications and database solutions
• Write efficient, scalable and high-performance SQL and PL/SQL code
• Develop and integrate RESTful APIs to support modern application architectures
• Collaborate with architects, developers and consultants to translate requirements into solutions
• Contribute to system design, code reviews and best practice development
• Support deployment, testing and ongoing maintenance of applications

Skills & Experience Required

• Oracle Database development (SQL / PL-SQL)
• SQL Server
• Experience designing and consuming RESTful APIs / REST API services
• Proficiency in at least two of the following programming languages:
  • Python
  • Java
  • JavaScript
  • .NET (C#)
• Experience working in Agile / Scrum environments
• Excellent problem-solving skills and attention to detail

Desirable Skills

• Experience with cloud platforms (Oracle Cloud, AWS, Azure)
• Knowledge of microservices architecture
• Exposure to DevOps practices and CI/CD pipelines
• Experience with containerisation (Docker / Kubernetes)

Scala Developer with solid functional programming understanding is sought on a remote basis by an international software house based in the UK.

This Scala Developer would be joining the innovation arm of the business tasked with building complex, highly scalable greenfield solutions utilised worldwide to deliver critical infrastructure. As such experience working on enterprise level applications would be a plus.

This Scala Developer will be joining a collaborative, continuous improvement focussed environment working within a mature estate but with scope to upskill in modern automation & containerisation technology.

With a real commitment to employee wellbeing and personal development this Scala Developer can expect long term commitment to remote, flexible working and a clearing defined progression path with 2 self promotion opportunities a year alongside companywide commitment to wellbeing by providing a best in class physical and mental wellbeing program.

This Scala Developer should have most of the following key skills:

• At least three years commercial scala programming
• Strong framework experience (Akka, Play etc)
• Relational database experience - PostgreSQL - MongoDB, NoSQL
• RESTful API design and integration experience
• Solid unit test understanding - Spec2, scalaTest etc
• Experience working in a TDD/ BDD driven environment
• Containerization experience - Docker, Kubernetes etc
• Awareness of cloud technologies would be useful

This Scala Developer will receive:

• Starting salary of up to £80,000
• Long term remote working
• Company ownership shares
• electric company car scheme
• long term hybrid working
• Flexible working hours
• 2 promotion and salary review opportunities each year
• Best in class physical & mental wellbeing scheme
• Private pension scheme
• Training and personal development budget and time allocation
• Wellbeing protection (death in service, critical illness cover, income protection)
• Extensive career progression opportunities
• 25 days holiday plus bank holiday with holiday buy & sell scheme
• Choice of technology

So if you are a Senior Scala Developer who likes the idea of building enterprise applications within a well-established friendly team then please apply now to be considered and for further details.

Scala Developer
Up to £80,000
Scala, REST Api, NoSQL, TDD/ BDD, functional programming, CI/CD, Play, Akka

Product Manager - Artificial Intelligence (Legal Technology)
£60,000-65,000
Hybrid: 3 days on site at a site in East Anglia (various office locations available)
Permanent | Full-time
Shape the future of AI in legal services

We’re looking for a Product Manager with strong experience in AI-driven solutions to lead the development of innovative tools that transform how legal professionals work.

This is a highly specialised role at the intersection of AI, legal workflows, and user experience, focused on delivering solutions that require precision, trust, and measurable impact.

Key Responsibilities
You’ll own and drive AI products that enhance legal workflows such as contract drafting, document review, legal research, and compliance processes.

Working within a cross-functional AI team, you will:

• Own the AI product roadmap with a clear focus on legal workflow optimisation
• Lead delivery across the full product life cycle, aligning engineering, data, and design
• Translate complex legal challenges into scalable AI solutions
• Facilitate discovery sessions with legal professionals to identify high-value opportunities
• Evaluate and implement AI tools (eg LLMs, NLP, RAG pipelines) in production environments
• Ensure solutions meet high standards for accuracy, confidentiality, and risk
• Drive adoption through intuitive user experiences and clear value articulation
• Define and track success metrics (accuracy, efficiency, adoption, ROI)
• Embed responsible AI principles including transparency, governance, and compliance

What makes this role different

• You’ll build AI products used in high-stakes, real-world decision-making
• You’ll work closely with domain experts including legal and compliance professionals
• You’ll solve problems where accuracy and trust are critical
• You’ll play a key role in shaping how AI is Embedded into professional services

Skills and Experience
Essential

• Proven track record as a Product Manager in a digital or technology-led environment
• Hands-on experience delivering AI/ML-powered products
• Strong understanding of:
  • Large Language Models (LLMs)
  • NLP, classification, extraction, summarisation
  • Retrieval-Augmented Generation (RAG) or similar architectures
• Experience working in regulated environments (eg legal, financial services, healthcare)
• Strong Agile delivery experience working with cross-functional teams

Highly desirable

• Experience with legal technology or legal workflows
• Understanding of:
  • Contract life cycle management
  • Document automation or review systems
  • Compliance or regulatory processes
• Experience evaluating third-party AI vendors and tools

Eligibility
Applicants must have full right to work in the UK without the need for sponsorship, now or in the future.

If you have the relevant experience for this role and happy to be 2 days on site/week in either Ipswich, Norwich, Chelmsford or Cambridge and 1 day in Ipswich, please apply using the link provided.

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.

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.

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future.

You’ll join a collaborative and inclusive team where you’re supported to grow your skills, explore new opportunities, and contribute from day one. You’ll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow , belong and impact .

Market Risk / CCR Quant Analyst - AVP/VP Level - Consultancy

We are seeking an experienced Senior Consultant, Manager OR Associate Director (AVP to VP Level) to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress.

Responsibilities

• Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges
• Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA)
• Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices
• Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery
• Support business development initiatives, including identifying new opportunities and developing proposals

What are we looking for?

• Minimum of 3-8 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services
• Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++)
• Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders

What we offer?

• A dynamic, collaborative, inclusive work environment
• Opportunities to work with leading global financial institutions on challenging and impactful projects
• Continuous professional development with tailored training and mentorship

Diversity, Equity & Inclusion

At Forvis Mazars diversity, equity and inclusion are central to our values. We value our people’s unique backgrounds, perspectives, and experience, and know this diversity create better outcomes for our clients.

We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith.

We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential.

At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

We’re looking for someone rare. Not a traditional developer. Not someone who’s just “played around” with AI tools. Someone who lives and breathes this space. The opportunity Everlinked is evolving. We’ve spent nearly 20 years building trust in the manufacturing space through recruitment. Now, we’re seeing a clear shift: Business owners know they need AI. They don’t know where to start. They don’t have anyone they trust to guide them. We’re building that bridge. We’re already working on real systems for clients — and this role is about helping us go all in. What you’ll be doing You’ll work directly with the founder to: Design and build agentic AI systems for real-world business use Turn commercial ideas into working applications quickly Build internal tools to improve how we operate Develop client-facing systems across multiple industries (primarily manufacturing) Own and shape the technical direction of what we build This isn’t theory. This isn’t sandbox work. You’ll be building systems that actually get used. The type of person we’re looking for You are: Deeply curious — you’re constantly learning, testing, breaking, rebuilding Technically sharp — comfortable with APIs, scripting, and system design Obsessed with AI — this isn’t a trend to you, it’s your world Commercially aware — you understand that the end goal is useful, working systems Security-conscious — you think about how things hold up in the real world Builder mindset — you’d rather ship something than talk about it You’ve likely: Studied something relevant (Computer Science, AI, etc.) or are self-taught to a high level Spent serious time experimenting with LLMs, agents, automation tools Built things — side projects, tools, systems — not just tutorials Tech & tools (indicative, not exhaustive) LLMs (OpenAI, Anthropic, open-source models) Agent frameworks / autonomous workflows Replit / cloud environments APIs, integrations, data pipelines Basic frontend/backend understanding Security fundamentals You don’t need to know everything — but you need to be able to figure anything out. How we work Office-based in Newquay Fast-moving, low ego, high ownership You’ll work across two businesses: Building internal systems Building client-facing AI solutions This is a chance to be early in something that’s going to grow quickly. Why this role is different You won’t be: Maintaining legacy code Working in a slow corporate environment Building things that never get used You will be: Shaping how real businesses adopt AI Building systems from scratch Working directly with decision-makers Seeing your work deployed and making an impact Final note We don’t expect you to tick every box. But we do expect: Intelligence Curiosity Obsession with the space If that sounds like you — we should talk