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Netrolynx AI

Lead Ai Engineer

United Kingdom
Posted about 11 hours ago
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About The Company

Kainos is a leading digital transformation company dedicated to delivering innovative solutions that empower organizations to achieve their full potential. With a focus on technology-driven services, Kainos specializes in cloud computing, software engineering, and digital modernization across various industries, including healthcare, government, and enterprise sectors. Their commitment to excellence and customer-centric approach has established them as a trusted partner for organizations seeking to leverage technology for strategic growth. Kainos prides itself on fostering a collaborative and inclusive work environment where creativity, diversity, and continuous learning are highly valued.

About The Role

As a Lead AI Engineer within the Workday Practice at Kainos, you will play a pivotal role in bridging the gap between data science and software engineering to bring AI and machine learning solutions into production. Your responsibilities will include working closely with data scientists, software engineers, and product teams to develop, deploy, and maintain scalable AI models that enhance Kainos’s Workday product offerings. The role demands a strong technical background, a passion for innovation, and the ability to translate complex AI concepts into practical, reliable solutions. You will be instrumental in ensuring the seamless integration of AI models into existing systems, optimizing their performance, and maintaining the robustness of AI-driven features to deliver value to clients and end-users.

Qualifications

  • Extensive experience in software development with proficiency in programming languages such as Python, Java, or C++, emphasizing clean, efficient, and maintainable code for production environments.
  • Proven track record in deploying AI/ML models at scale, with knowledge of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP, and familiarity with cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.
  • Strong understanding of containerization (Docker) and orchestration (Kubernetes) technologies to build and manage scalable AI solutions.
  • Solid background in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.
  • Experience working within agile development frameworks and teams, demonstrating adaptability and collaborative skills.
  • Excellent interpersonal and communication skills, capable of translating technical requirements into actionable solutions and engaging with both technical and non-technical stakeholders effectively.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Responsibilities

  • Design, develop, and deploy scalable AI and machine learning models, ensuring they meet performance and reliability standards.
  • Collaborate with data scientists to translate prototypes into production-ready solutions, integrating models seamlessly into existing systems.
  • Implement and maintain MLOps pipelines, including automation of model deployment, monitoring, and version control.
  • Optimize AI models for performance, scalability, and robustness, ensuring they operate efficiently within cloud and on-premise environments.
  • Build and manage data pipelines, ensuring high-quality data flows for training and inference tasks.
  • Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Stay updated with the latest advancements in AI and machine learning, applying innovative techniques to improve existing solutions.
  • Participate in code reviews, knowledge sharing, and documentation to promote best practices within the team.

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Benefits

Kainos offers a comprehensive benefits package designed to support your professional growth and personal well-being. Employees enjoy competitive salaries, flexible working arrangements, and opportunities for continuous learning and development. The company promotes a healthy work-life balance and provides access to various wellness programs. Additionally, Kainos encourages innovation and recognizes outstanding contributions through awards and career advancement opportunities. As part of the team, you will have the chance to work on impactful projects that make a difference in clients' lives and contribute to cutting-edge technological advancements.

Equal Opportunity

Kainos is committed to fostering a diverse and inclusive workplace where everyone is valued and respected. We believe that a diverse team enhances creativity, innovation, and overall performance. We provide equal employment opportunities to all applicants and employees regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic protected by law. We actively seek to create an environment where all individuals can thrive and reach their full potential. Our recruitment process is transparent and fair, and we are dedicated to accommodating candidates' needs to ensure a level playing field for all applicants.

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Skills

Python
Java
C++
MLOps
CI/CD
AWS
Azure
GCP
Docker
Kubernetes
Data Engineering
Agile
SageMaker
Vertex AI
Azure ML Studio
Model Versioning

Location

United Kingdom

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