Junior Innovation Engineer

Qodea; London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading Google Cloud consultancy in London is seeking a Junior Innovation Engineer to develop and implement AI and ML solutions. The role involves tackling strategic problems and building tools that drive innovation. Candidates should have a strong technical background, experience with programming languages like Python and C++, and a collaborative approach. Exceptional performance can lead to career advancement within the company.

Benefits

Competitive base salary

Matching pension scheme

Private medical insurance

36 days annual leave

Flexible working hours

Qualifications

• Strong technical foundations.
• Experience with common programming languages such as Python, C++ and SQL.
• Demonstrable experience operating in modern cloud environments (GCP preferred).
• Experience of deep learning frameworks (such as PyTorch and TensorFlow).
• Collaborative and methodical approach.

Responsibilities

• Tackle strategic problems - work on real business challenges.
• Build AI enabled tools - Design and implement solutions using AI and ML models.
• Utilise partnership with Google Cloud for learning and development.

Skills

Technical foundations

Python

C++

SQL

GCP

Kubernetes

Docker

CI/CD

PyTorch

TensorFlow

Job description

Overview

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people.

We are looking for a Junior Innovation Engineer to craft and implement solutions based on AI and ML models.

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

What You’ll Do

• Tackle strategic problems - work on real business challenges, like improving operations through intelligent automations or using machine learning to speed up decision making
• Build AI enabled tools - Design and implement solutions using AI and ML models, large language models or data science pipelines that have measurable impact.
• Learning and Development - Utilise our partnership with Google Cloud. Helping you work with modern tech stacks and access exclusive tooling and learning opportunities. Stay up to date with the latest developments in Machine Learning.

What You’ll Need to Succeed

• Strong technical foundations.
• Experience with common programming languages such as Python, C++ and SQL.
• Demonstrable experience operating in modern cloud environments (GCP preferred) using Kubernetes, Docker and CI/CD.
• Experience of deep learning frameworks (such as PyTorch and TensorFlow).
• Collaborative and methodical approach.
• Proactive and attentive to detail.
• Creative problem-solving abilities.
• Strong grasp of statistics and probability fundamentals.

How You’ll Grow

Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs.

Potential career development could include progression to the next level or cross-skilling into related roles, such as a Machine Learning Engineer in the Data and AI Department, based on performance and ongoing development.

Benefits

Financial:

• Competitive base salary.
• Matching pension scheme (up to 5%) from day one.
• Discretionary company bonus scheme.
• 4 x annual salary Death in Service coverage from day one.
• Employee referral scheme.

Health and Wellbeing:

• Private medical insurance from day one.
• Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
• EAP service
• Cycle to Work scheme.

Time Off and Flexibility:

• 36 days annual leave (inclusive of bank holidays).
• An extra paid day off for your birthday.
• Ten paid learning days per year.
• Flexible working hours.
• Market-leading parental leave.
• Sabbatical leave (after five years).
• Work from anywhere (up to 3 weeks per year).

Development and Recognition:

• Industry-recognised training and certifications.
• Bonusly employee recognition and rewards platform.
• Clear opportunities for career development.
• Length of Service Awards

Extra Perks:

• Regular company events.
• Tech Scheme.