Graduate Ai Engineer Job at Oho Group Ltd (Cambridge)

Graduate Trainee - AI Customer Engineer

AMD is seeking a highly motivated Graduate Trainee to join our Data Center GPU t...

Location

Malaysia , Penang

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong verbal and written communication skills in English
Solid understanding of modern x86 microprocessor and server platform architectures (highly preferred)
Experience with test planning, test development flows, and validation methodologies
Proficiency with programming/scripting languages, especially Python
Hands-on experience with common lab equipment, such as protocol/logic analyzers and oscilloscopes
Working knowledge of server operating systems (Linux and Windows)
Self-motivated team player who can work with minimal supervision and communicate effectively across teams
Demonstrated passion for tackling complex technical problems
Experience with rapid prototyping using maker tools (e.g., Arduino, Raspberry Pi, 3D printing, etc.)
Familiarity with AI concepts, frameworks, or applications

Job Responsibility

Support technical innovation in validation by helping with tool and script development, improving existing methods, and contributing to cross-functional technical initiatives
Assist in debugging issues found during bring-up, validation, and production phases of SoC programs, working with senior engineers to identify root causes and fixes
Help coordinate and track test execution with multiple teams to ensure features are validated and optimized on schedule
Work closely with supporting technical teams (such as design, firmware, software, and platform teams) to learn system-level behavior and help resolve issues
Learn and contribute to software/hardware modeling and simulation frameworks used to improve validation coverage and predictability
Use AI tools to improve productivity in day-to-day tasks, such as data analysis, test automation, and documentation

Applied Ai Engineer

As an Applied AI Engineer – Edge AI & Computer Vision, you will play a pivotal r...

Location

Romania , Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

Ideally 2–3 years of practical experience working on Machine Learning and Computer Vision systems deployed at the edge
Proven experience in moving machines learning models successfully from research environments to high-performance, real-time production environments
Bachelor’s degree in computer science, Engineering, Machine Learning, Mathematics, or a closely related technical field
Master’s degree in a related technical domain is highly preferred
Exceptional practical problem-solving and algorithmic skills
Highly analytical and able to identify trends, make data-driven decisions, and think critically to construct efficient solutions
Proactive and highly adaptable
comfortable navigating ambiguity in a fast-paced, rapidly evolving ML environment
Strong communication and teamwork skills
capable of aligning technical consensus and influencing peers with technical expertise while beginning to act as a mentor

Job Responsibility

Own and deliver key Machine Learning and Computer Vision components or features of a project
Design, execute, and deliver robust applications that interface with edge devices
Support graduated AI solutions throughout their production lifecycle, ensuring continuous reliability
Refine, refactor, and harden existing AI implementations to meet high-quality production standards
Design and implement targeted initiatives to optimize system efficiency, real-time performance, and pipeline output
Apply model optimization techniques (e.g., quantization, pruning, and latency tuning) for specialized, resource-constrained edge devices
Develop advanced-scope tools to automate research and development processes and enhance workflow efficiency
Manage production infrastructure for model training and serving, incorporating modern MLOps workflows and pipelines
Identify novel solutions and take an active role in designing modular application units
Expand on experimental results presented by research teams and successfully transition them from research to robust production environments

Fulltime

Ai Engineer

I’m partnering with a world-class IoT tech startup building next-generation AI-p...

Location

United Kingdom , Cambridge

Salary:

Not provided

Oho Group Ltd

Expiration Date

Until further notice

Requirements

Recent 2025/26 graduate from a Russell Group university in Computer Science, AI, Machine Learning, or a related discipline
Strong software engineering fundamentals and excellent coding ability
Genuine interest in LLMs, AI systems, or applied machine learning
Curious, fast-moving engineer who thrives in ambiguity and experimentation

Job Responsibility

Prototype, build, and ship state-of-the-art AI features using the latest models
Work across multimodal AI including text, audio, and video
Turn cutting-edge research into real, shipped product experiences

Fulltime

Staff Applied AI Engineer, Enterprise GenAI

The SGP ML team works on the front lines of this AI revolution. We interface dir...

Location

United States , San Francisco, CA; Seattle, WA; New York, NY

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

7+ years of full-time engineering experience, post-graduation
A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals
Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Job Responsibility

Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
Have experience gathering business requirements and translating them into technical solutions
Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases
Be able and willing to multi-task and learn new technologies quickly

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend

Fulltime

Junior AI Engineer

SDG Group is looking for Junior AI Engineers to join our AI & Data Science team....

Location

Italy , Milan; Verona

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Master’s degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related)
Recent graduates are welcome, even with limited professional experience
Proficiency in R, Python and its ecosystem (NumPy, Pandas, scikit-learn)
Familiarity with Git, virtual environments, and SQL/NoSQL databases
Understanding of core ML concepts (regression, classification, clustering, dimensionality reduction)
English at a B2 level (this will be tested during the interview)

Job Responsibility

Full-Lifecycle AI Development: Manage the entire journey of an AI solution, from initial problem-solving and data cleaning to building production-ready systems
Cutting-Edge Modeling: Implement a wide range of algorithms—from traditional statistical optimization and predictive modeling (supervised/unsupervised) to advanced Generative AI using LLMs and Transformers
Industrialization & AIOps: Transition models from local environments to the cloud using an engineering mindset. You will ensure systems are scalable and reliable by applying AIOps methodologies
Cloud Mastery: Work across the 'Big Three' (AWS, GCP, and Azure) and leverage specialized platforms like Databricks, SageMaker, and Vertex AI to handle large-scale data science needs
Strategic Insight & Communication: Translate complex datasets into actionable business insights. You will act as a bridge between technical data and client needs, presenting findings that solve real-world challenges
Collaborative Deployment: Work in synergy with Data Engineers to integrate models into live systems, ensuring they are not just 'smart' but operational

What we offer

Continuous Growth & Learning: Access our Internal Academies for 80 hours of initial training, followed by ongoing coaching and support for top-tier certifications (AWS, Snowflake, Google BigQuery, etc.)
A Meritocratic Ecosystem: semi-annual performance reviews to discuss your achievements, new challenges, and salary adjustments based on your results
High-Impact Projects: From Day 1, you’ll be part of a team implementing real-world AI, deep learning, and predictive analytics for global industry leaders
Young & International Culture: Join a diverse, inclusive, and energetic team with an average age under 30, with opportunities for international travel
Flexibility & Work-Life Balance: We embrace Smart Working (hybrid) and provide financial support for your home office
Stability & Purpose: We offer a permanent contract because we want you to grow with us long-term in an environment that celebrates creativity and diversity

Fulltime

Software Engineer, AI Developer Tooling

In this role, you will redefine how engineers develop, build, test, and deploy s...

Location

United States , San Francisco; Seattle; New York

Salary:

180000.00 - 225000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems
Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others
Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems
Show a track record of independent ownership of successful engineering projects
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
Experience with modern web frameworks like NodeJS, NextJS, etc.
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD)

Job Responsibility

Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions
Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements
Directly mentor software engineers ranging from new grads to experienced engineers
Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages
Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

Applied AI Engineer, International Public Sector

Scale’s rapidly growing International Public Sector team is focused on using AI ...

Location

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Job Responsibility

Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

AI Engineer Intern

As an intern at ResMed, you’ll gain hands-on experience, learn from experts, and...

Location

United States , San Diego

Salary:

23.25 - 42.75 USD / Hour

ResMed

Expiration Date

Until further notice

Requirements

Ability to work full-time for 12 weeks during Summer 2025
program dates are May 18th – August 7th, 2026, OR June 15th – September 4th, 2026
Currently working toward or recently completing a bachelor’s or graduate degree in Computer Science, Software Engineering, or a related field
Coursework or experience in software development fundamentals
Familiarity with Python and/or JavaScript
Interest in AI tools for software engineering (e.g., GitHub Copilot, RAG/LLM tooling)
Exposure to CI/CD and test automation concepts
Comfortable working with cloud services (e.g., AWS) and collaborative engineering workflows
A desire to learn, ask questions, and contribute in a fast-moving environment

Job Responsibility

Partner with cross-functional engineering teams to identify opportunities where AI and automation enhance software development workflows
Build and prototype tools using GenAI frameworks (e.g., LLMs, RAG frameworks such as LangChain) for tasks like code review assistance and automated documentation generation
Implement automation for release processes and CI/CD workflows using GitHub Actions and other tooling
Use Python, JavaScript, and AWS services to prototype and deploy solutions that integrate with developer environments
Apply GenAI approaches to test automation and quality improvements
Document your work and present findings or demos to the team

What we offer

Gain hands-on experience
Learn from experts
Collaborate with teams
Work directly with a mentor
Experience products up close
Interact directly with company leaders
Build a lasting professional network
Gain the skills and knowledge to become a future leader

Fulltime

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Graduate Ai Engineer

Job Description

Job Responsibility

Requirements

What we offer

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