Graduate Generative AI Engineer Job at Osprey CSL (Cambridge)

AI Solutions Engineer

Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vi...

Location

United States , Denver; San Francisco

Salary:

129000.00 - 179000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity
3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques
Strong programming skills in languages such as Python
experience with AI frameworks like TensorFlow, PyTorch, or similar tools
Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require
A deep interest in leveraging AI to transform internal processes and enhance employee productivity

Job Responsibility

Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency
Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows
Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization
Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions
Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value
Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions
Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend

Fulltime

Machine Learning Engineer, 2026 Graduate

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Must be currently enrolled in a full-time degree program (Masters degree preferred) and returning to the program after the completion of the internship, graduating by January 2026
Can translate business problems into technical solutions
Have experience writing software with minimal bugs in Python or Java
Have experience with SQL (Bonus!)

Job Responsibility

Focus on AI/ML applications and ideas for new generative AI experiences
Build / fine-tune machine learning models to assess AI response quality and create new experiences

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior AI Engineer

This role will be tasked with applying machine learning/deep learning to the aut...

Location

United States , Belmont

Salary:

170000.00 - 210000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

6-8 years of professional experience post graduate degree preferred
4+ years' Deep Learning experience post graduate degree preferred
Master's Degree in Computer Science or equivalent
PhD Strongly Preferred
Strong knowledge of different machine learning algorithms
Proficiency in deep learning techniques and frameworks
Strong understanding of traditional machine learning algorithms and their applications
Expertise in computer vision, including object detection, image segmentation, and image recognition
Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models
Experience with multimodal language modeling and applications

Job Responsibility

Applying machine learning/deep learning to the automotive industry
Maintaining and enhancing existing machine learning modules for autonomous vehicles
Designing and implementing new machine learning based approaches based on existing frameworks
Keeping up to speed with the state of the art of academic research and technology in the industry
Coordinating with engineers at the ICC and in Germany on the development of autonomous driving software
Transferring technologies and solutions to Volkswagen Group development divisions
Developing technical specifications and documentation
Representing Volkswagen Group in the technical community, such as at conferences

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Consultant, Advisors – AI & GenAI Consulting

Our Performance Analytics consultants are data-driven problem solvers who combin...

Location

Portugal

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience in designing, developing, and deploying Generative AI solutions, including working with large language models (LLMs), prompt engineering, and fine-tuning models for specific business use cases
Strong proficiency in Python and relevant AI/ML frameworks (e.g., Langchain, PyTorch, Google ADK)
Hands-on experience with cloud-based AI services (Azure OpenAI, AWS Sagemaker, Google Vertex AI) and integration into enterprise workflows
Solid understanding of machine learning, deep learning, and NLP techniques, with the ability to apply them to real-world problems
Familiarity with data engineering and big data tools (Spark, Databricks) to support scalable AI solutions
Ability to translate complex technical concepts into actionable insights for business stakeholders
Graduate Engineering with data and analytics experience in business intelligence or business translation
At least 2 years of relevant work experience in AI/ML roles
Proven experience collaborating with internal teams and external stakeholders to achieve shared objectives
Advanced Word, Excel, and PowerPoint skills

Job Responsibility

Support data-driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI by building robust models and leveraging cutting-edge tools to unlock measurable client value
Design methodologies tailored to client problem statements, applying critical thinking to account for internal and external constraints
Collaborate with Mastercard teams to understand client priorities, risks, and opportunities, ensuring alignment with business goals
Build trusted relationships with client stakeholders, acting as a strategic advisor and thought partner
Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
Maintain and share project resources and repositories in alignment with organizational best practices, ensuring proper version control, documentation, and accessibility for the team
Collaborate effectively with team members to identify trends, patterns, and anomalies, while independently driving analysis that supports project objectives—including leveraging Generative AI techniques where applicable
Engage with the client and drive internal workstreams, contributing to effective project execution and delivery
Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI-driven and Generative AI solutions
Receive guidance from analytics leaders while actively mentoring junior consultants, fostering mutual growth and contributing to a high-performance culture

Fulltime

Technology - Application Development, Full Time Analyst

The Full Time Technology Analyst Programme at Citi is designed to teach the fund...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Be graduating between Dec 2025 and May 2026
pursuing Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Management Information Systems, or other tech related degree
be a problem solver who thrives on innovation and enjoys tackling challenges head-on
possess a global outlook and willingness to collaborate across cultures and time zones
have excellent communication skills, project management, leadership, attention to detail, and the ability to work well within diverse teams
have ability to pass technical interviews consisting of basic algorithmic programming exercises
be collaborative and adaptable, with excellent communication skills
prior experience working in agile teams is desirable.

Job Responsibility

Work in an agile software development environment, developing quality and scalable software solutions using leading-edge technologies
develop code consistent with quality standards based on business requirements
offer support during testing cycles and post-production deployment
use appropriate tools to test and debug code
participate in the review of peer coding.

What we offer

Structured learning
networking
mentoring
development programs
global exposure
real-world projects
continuous learning
gain insights into how technology drives the financial sector
contribute to real-world projects.

Fulltime

Machine Learning Engineer

Join Atlassian as a graduate and have an impact on how millions of users collabo...

Location

Australia; New Zealand , Sydney; Auckland

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Must be currently enrolled in a full-time degree program (Masters degree preferred) and returning to the program after the completion of the internship, graduating by January 2026
Have experience writing software with minimal bugs in Python or Java
Have experience with SQL (Bonus!)

Job Responsibility

Focus on AI/ML applications and ideas for new generative AI experiences
Build / fine-tune machine learning models to assess AI response quality and create new experiences
Can translate business problems into technical solutions

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Military Writing Expert

We are hiring military writing experts to develop fine-tuned LLMs for national s...

Location

United States , St. Louis

Salary:

10000.00 USD / Month

Chameleon Integrated Services

Expiration Date

Until further notice

Requirements

10+ years as a military officer with intelligence, operations, aviation, or ground combat as your primary occupational specialty
One tour as an O-4 or higher in a General Officer-level command (e.g. G-level or J-level staff in an intelligence, operations, or plans directorate
Graduate of a joint or service intermediate-level school (e.g. Command and General Staff College)
Deep interest in AI / ML applications for national security purposes
A strong orientation towards outcomes and a history of being scrappy when it counts
Top Secret clearance or willingness to obtain one (preferred)

Job Responsibility

Audit and create high quality data related to military topics (written analyses of doctrinal, operational, and strategic documents) used to drive AI innovation
Interface with machine learning engineers to align on approaches to generative AI tasks like model comparison or prompt response pairs
Work with an operations team to improve overall workflows for generative AI tasks
Partner with product managers to provide user feedback on AI Defense Tools
Review and write analyses of doctrinal, operational, and strategic documents, which will later be used to train and evaluate AI models
Train and mentor junior AI writing specialists working on these projects
Regularly interface with machine learning engineers and operations teammates to optimize our workflows for improved model outcomes.

What we offer

Competitive Employee Health Insurance options including dental
100% company paid vision plan
401K plan with generous company match and no vesting period
100% company paid life insurance
100% company paid long and short-term disability insurance
Training allowance
PTO and more

Graduate Generative AI Engineer

Osprey CSL

Location:
United Kingdom , Cambridge

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 10, 2026

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