ai engineer

senior software engineer

full stack engineer

software engineer

lead software engineer

ai developer

Escalent

<div>Who We Are
Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world&rsquo;s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver&mdash;for each other and our clients&mdash;to make the world work better for people. 
 
Overview
We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. 
 
Responsibilities
<ul><li>Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment
</li></ul><ul><li>Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems
</li></ul><ul><li>Build and optimize data pipelines for structured and unstructured data used in AI application workflows
</li></ul><ul><li>Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation
</li></ul><ul><li>Optimize application and model integration performance for scalability, reliability, latency, and maintainability
</li></ul><ul><li>Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions
</li></ul><ul><li>Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development
</li></ul><ul><li>Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability
</li></ul><ul><li>Write clean, structured, and well-documented code aligned with the team&rsquo;s engineering standards and development best practices
</li></ul><ul><li>Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development 
</li></ul> 
Required Skills
<ul><li>5-8 years of Python development experience, with 2+ years of AI/ML development
</li></ul><ul><li>Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI
</li></ul><ul><li>Experience with API development, integration, and web services in production environments
</li></ul><ul><li>Hands-on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications
</li></ul><ul><li>Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications
</li></ul><ul><li>Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes
</li></ul><ul><li>Understanding of asynchronous programming, performance optimization, and scalable backend architectures
</li></ul><ul><li>Experience with unit testing, debugging, version control, and software engineering best practices
</li></ul><ul><li>Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval-based AI patterns is a strong plus
</li></ul><ul><li>Ability to work effectively in a collaborative team environment with strong problem-solving and execution skills 
</li></ul> 
Desirable Skills
<ul><li>Experience working with Agile development methodologies
</li></ul><ul><li>Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows
</li></ul><ul><li>Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications
</li></ul><ul><li>Strong written and verbal communication skills with the ability to document technical solutions clearly</li></ul></div>

AI Transformation Developer

<div><div><div><div>United Kingdom</div>
</div><div><div>Quantitative Analysis, Sales and trading</div>
</div><div><div>Investment Bank
</div></div><div>Job Reference #
<div>339175BR</div>
</div><div>City
<div>London</div>
</div><div>Job Type
<div>Full Time
</div></div><div>Your role
<ul><li>Participate in the design, development, and implementation of quantitative models and analytics supporting the QIS business</li><li>Play a key role in designing and implementing the next generation of AI-powered systems, partnering closely with Trading, Structuring and Sales from idea generation through production launch</li><li>Deliver high quality quantitative applications, tools, and workflows to support QIS Trading, Structuring and Sales in managing, analyzing, and hedging risk</li><li>Contribute to the transformation of the QIS calculation stack, including migration towards a strategic, cloud based architecture in collaboration with IT and platform teams</li><li>Support internal and external stakeholders, including clients, third party calculation agents, and internal platform teams, ensuring robustness, transparency, and scalability of QIS analytics</li><li>Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions</li></ul>
</div><div>Your Career Comeback
<div>We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.</div>
</div><div>Your team
<div>QIS Quants deliver best in class quantitative solutions for clients and trading functions of UBS&rsquo; Quantitative Investment Strategies (QIS) business, part of Global Markets. As a member of our team, you will play a pivotal role in the design, modelling, and delivery of systematic investment strategies, along with the analytics and tooling that support their full lifecycle from conception to production and client delivery. You will be developing models, applications, and workflows within UBS&rsquo;s proprietary cloud based quantitative analytics platform (ACQA), working closely with Trading, Structuring, Sales, Quant, and IT partners globally. Your work will directly support QIS strategy innovation, risk management, and scalable production, contributing measurable value to clients and internal stakeholders.</div>
</div><div>Your expertise
<div>Required: 
<ul><li>Strong professional experience in QIS, systematic trading, quantitative research, structuring, or front office quant roles within Global Markets</li><li>Strong proficiency in Python for developing quantitative models, analytics, and production ready applications</li><li>Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques</li><li>Experience working with large scale data and analytics pipelines.
</li><li>Strong analytical, problem solving, and architectural design skills, with an ability to operate effectively in a front office environment</li><li>Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline</li></ul> 
Preferred: 
<ul><li>Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus</li><li>Proficiency in Agentic design (LangChain/LangGraph), implementation, and hallucination management; experience with performance critical or large scale systems is a plus</li><li>Experience with strategic cloud platforms and workflows (e.g. Azure based architectures); exposure to migration or platform transformation initiatives is advantageous</li><li>Strong understanding of the end to end lifecycle of systematic strategies, from research and modelling through production and client delivery</li><li>You&rsquo;re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment &ndash; validating outputs and aligning with policies, risk standards, and ethical use</li></ul></div>
</div><div>About us
<div>UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. 
We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.</div>
</div><div>Join us
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves. 
We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div>Disclaimer / Policy statements
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Senior Quant AI Developer

Playtech

<div>
 
 
 About Playtech
 
 
 
 
 
 
 Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience.
 
 
 
 
 
 As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
 
 
 
 
 
 Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
 
 
 
 
 
 
 Ready to level up your career?
 
 
 
 
 
 
 We&rsquo;re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles.
 
 
 
 
 
 This is not about theory - it&rsquo;s about building AI that works in the real world!
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Your Influential Mission: You Will&hellip;
 
 
 
 
 
 <ul>
 <li>
 Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.
 </li>
 <li>
 Create reusable patterns, templates, and best practices for AI adoption across Playtech.
 </li>
 <li>
 Design agentic workflows that automate tasks, use APIs, and support complex processes.
 </li>
 <li>
 Stay current with AI trends and turn insights into demos, workshops, and recommendations.
 </li>
 <li>
 Partner with teams to turn ideas into real solutions and support AI adoption hands-on.
 </li>
 <li>
 Drive efficiency and productivity through AI across multiple business units.
 </li>
 <li>
 Improve solution quality, cost, and performance through better design and optimisation.
 </li>
 <li>
 Identify and mitigate AI risks, ensuring safe and responsible use.
 </li>
 <li>
 Contribute to AI standards, governance, and best practices.
 </li>
 <li>
 Share knowledge, mentor others, and raise the overall AI engineering bar.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Components for Success: You&hellip;
 
 
 
 
 
 <ul>
 <li>
 Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.
 </li>
 <li>
 Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.
 </li>
 <li>
 Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.
 </li>
 <li>
 Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.
 </li>
 <li>
 Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.
 </li>
 <li>
 Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.
 </li>
 <li>
 Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Get Extra Points for&hellip;
 
 
 
 
 
 <ul>
 <li>
 Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)
 </li>
 <li>
 AI evaluation or AI security experience.
 </li>
 <li>
 Agentic development experience (MCP, multi-agent systems).
 </li>
 <li>
 RAG implementation experience.
 </li>
 <li>
 Cloud DevOps or Terraform experience.
 </li>
 <li>
 Prior experience in iGaming, fintech, or another regulated industry.
 </li>
 <li>
 AI governance experience or interest.
 </li>
 <li>
 Coding experience, especially in Python
 </li>
 </ul>
 
 
 
 
 
 Thrive in a culture that values&hellip;
 
 
 
 
 
 <ul>
 <li>
 Ownership and accountability where you take responsibility for delivery, operations, and outcomes.
 </li>
 <li>
 Proactive collaboration across the business units and teams globally.
 </li>
 <li>
 Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.
 </li>
 <li>
 Versatile and exciting challenges that keep you going and growing.
 </li>
 <li>
 Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.
 </li>
 <li>
 Neat benefits &amp; bonus package.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 CENTRAL AI TEAM
 
 
 
 
 
 
 The team is Playtech&rsquo;s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact.
 
 
 
 
 
 Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
 
</div>

AI Solution Engineer

PLAYTECH

<div>Company Description 
About Playtech
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience.
As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
Ready to level up your career?
We&rsquo;re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. 
This is not about theory - it&rsquo;s about building AI that works in the real world! 
Job Description 
Your Influential Mission: You Will&hellip;<ul><li>
Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.</li><li>
Create reusable patterns, templates, and best practices for AI adoption across Playtech.</li><li>
Design agentic workflows that automate tasks, use APIs, and support complex processes.</li><li>
Stay current with AI trends and turn insights into demos, workshops, and recommendations.</li><li>
Partner with teams to turn ideas into real solutions and support AI adoption hands-on.</li><li>
Drive efficiency and productivity through AI across multiple business units.</li><li>
Improve solution quality, cost, and performance through better design and optimisation.</li><li>
Identify and mitigate AI risks, ensuring safe and responsible use.</li><li>
Contribute to AI standards, governance, and best practices.</li><li>
Share knowledge, mentor others, and raise the overall AI engineering bar.</li></ul> 

Qualifications 
Components for Success: You&hellip;<ul><li>
Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.</li><li>
Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.</li><li>
Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.</li><li>
Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.</li><li>
Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.</li><li>
Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.</li><li>
Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.</li></ul>
You&rsquo;ll Get Extra Points for&hellip;<ul><li>
Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)</li><li>
AI evaluation or AI security experience.</li><li>
Agentic development experience (MCP, multi-agent systems).</li><li>
RAG implementation experience.</li><li>
Cloud DevOps or Terraform experience.</li><li>
Prior experience in iGaming, fintech, or another regulated industry.</li><li>
AI governance experience or interest.</li><li>
Coding experience, especially in Python</li></ul>
Thrive in a culture that values&hellip;<ul><li>
Ownership and accountability where you take responsibility for delivery, operations, and outcomes.</li><li>
Proactive collaboration across the business units and teams globally.</li><li>
Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.</li><li>
Versatile and exciting challenges that keep you going and growing.</li><li>
Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.</li>
Neat benefits &amp; bonus package. 
<li>
</li></ul> 
 
Additional Information 
CENTRAL AI TEAM
The team is Playtech&rsquo;s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact.
Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.</div>

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

AI Engineer

C3 AI

<div>
 C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at:
 
 C3 AI
 
 
 
 As a member of the
 
 C3 AI Data Science team
 
 , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale.
 
 
 Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
 
 
 This is a frontline role on some of the most consequential AI programmes in UK and European defence today. You will help design and deploy AI that keeps aircraft and platforms mission-ready through predictive maintenance, that sharpens decision-making through Digital Targeting, and that sustains operations through logistics in contested and degraded environments. These are live programmes with real operational stakes, delivered into demanding, secure settings across the UK MOD, NATO, and allied European partners.
 
 
 Some travel to customer and partner locations should be expected.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.
 </li>
 <li>
 Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.
 </li>
 <li>
 Contribute to the design and implementation of new features of the C3 AI Suite.
 </li>
 <li>
 Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.
 </li>
 <li>
 Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
 
 
 </li>
 </ul>
 
 This role supports defence programmes that require UK Security Clearance. Candidates must hold, or be able to obtain and maintain, [SC / NATO] clearance. Eligibility is set by the contracting authority and typically requires a minimum of five years&rsquo; continuous UK residence.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
 </li>
 <li>
 Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).
 </li>
 <li>
 Strong mathematical background (linear algebra, calculus, probability and statistics).
 </li>
 <li>
 Experience with scalable ML (MapReduce, streaming).
 </li>
 <li>
 Ability to drive a project and work both independently and in a team.
 </li>
 <li>
 Smart, motivated, can do attitude, and seeks to make a difference.
 </li>
 <li>
 Excellent verbal and written communication.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.
 </li>
 <li>
 A portfolio of projects (GitHub, papers, etc.) is a plus.
 
 
 </li>
 </ul>
 
 C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
 
 
 
 C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
</div>

Data Scientist - Defence

Houseful

<div>6 months Initial Contract - Must work from the UK
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.
The Role
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:<ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</div>

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