ML/AI Engineer Job at Carbon13 (Edinburgh)

Principal ML/AI Software Engineer

We are looking for a Principal Engineer experienced in the ML/AI domain to drive...

Location

Turkey

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML
Proven track record of tech-leading AI/ML products from conception to launch
Strong platform mindset - experience building reusable tools/infras to accelerate AI development
Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds
Excellent communication and collaboration skills

Job Responsibility

Define the technical vision and roadmap for AI Foundation and NextGen
End-to-end ownership - from prototyping and development to production
Hands-on work in prompt engineering, model iteration, and training/inference systems
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
Facilitate product and technical decisions, ensuring alignment with business goals
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
Evaluate in-house model development vs. third-party APIs for ML/AI solutions
Establish best practices for AI development, quality measurement, monitoring, and scalability

What we offer

Health and wellbeing resources
Paid volunteer days

Sr.Manager Systems Engineering

The role of Systems Engineering Sr.Manager is to innovate, develop, standardize ...

Location

Switzerland , Campocologno

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Deep knowledge of design for automatic machines
Deep knowledge of computerized drawing techniques
Computer proficiency in Microsoft Office, AutoCAD software and ability to use enterprise software
Good knowledge of automatic machine controls and programming techniques
Knowledge of material technologies and their application into pharmaceutical industry
Knowledge of main norms related to machines manufacturing and fundamentals of technical documentation, safety rules
Proven track record of leading improvement initiatives and projects in manufacturing operations and functional disciplines delivering complex projects on time and within budget
Strong interpersonal skills and flexibility to effectively work at different levels of the organization and ability to provide coaching, motivate and guide team members
Strong understanding of systems engineering principles, methodologies, and tools
Expert problem solver and ability to think strategically

Job Responsibility

Lead and manage a team of Mechanical, Electrical, Systems Engineers
Resolve technical issues related to automatic processes and equipment that are complex and unclearly defined
Contribute to the development of new design techniques, innovative systems within the area of automation for pharmaceutical processes
Collaborate with cross-functional teams, including Product Management, Software Engineering, Mechanical Design, and Manufacturing
Responsible for executing the project strategy for simple, medium and complex automatic machines at global manufacturing sites
Lead the evaluation of equipment user requirements both during the quotation phase and at the receipt of project documentation
Define the functional architecture of a new system
Arrange, manage and plan the resources and activities of the equipment designers
Oversee the design, development, and testing of systems, including mechanical components and process automation systems
Collaborate with project leaders, suppliers and segments leaders for project strategy reviews and technical discussions

What we offer

Support for Parents
Continuing Education/Professional Development
Employee Heath & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer

Fulltime

Machine Learning Engineering Lead

As our Machine Learning Engineering Lead, you will be responsible for building a...

Location

United States , New York; Philadelphia; Pittsburgh; Plymouth Meeting

Salary:

200000.00 - 250000.00 USD / Year

Credit Genie

Expiration Date

Until further notice

Requirements

7-10+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity
Strong foundation in Software Development and prior experience leading impactful ML software projects
Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability
Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …)
Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features)

Job Responsibility

Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team
Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences)
Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements
Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team
Have fun working on hard and highly impactful problems

What we offer

Offers Equity
Offers Bonus
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox
401(k) with a 3.5% match and immediate vesting
Meal program available for both lunch and dinner
Pre-tax benefits, including a $1,000 HSA match
Life and accidental insurance
Flexible PTO

Fulltime

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

AI/ML Engineer (IoT sphere)

This AI-driven initiative focuses on improving the client's smart video ecosyste...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in ML/AI engineering
Strong proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch
Proficient in building distributed workflows using Apache Spark or Databricks
Hands-on experience in cloud environments (AWS and/or Azure)
Familiarity with FastAPI, Docker, and CI/CD practices
Background in computer vision, including object detection and tracking (YOLO, SAM, SSD)
Experience working with annotation tools (Label Studio, CVAT, etc.) and dataset management
Understanding of LLMs, transformers, and generative AI techniques
experience with LangChain or similar orchestration frameworks
Proficiency in building scalable, fault-tolerant ML pipelines with monitoring/logging

Job Responsibility

Design, develop, and validate smart video search and summarization systems
Build and optimize ML pipelines for object detection, event tagging, and descriptive alerts
Collaborate with firmware teams to implement automated model testing on target devices
Work with video datasets to curate, label, and annotate events for AI training
Integrate LLMs to contextualize visual events and enable semantic grouping
Maintain high-quality production-grade code for APIs and ML services
Partner with product and engineering teams to ship AI-driven features for intelligent notifications
Implement monitoring, observability, and continuous evaluation for deployed models

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Technical Recruiter

We’re looking for a full-cycleTechnical Recruiter to join our global Talent team...

Location

United Kingdom

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Proven track record hiring top 1% technical talent (e.g., researchers, ML/AI engineers, full-stack engineers, infra engineers) in a high-bar environment
Demonstrated experience running full-cycle recruiting from sourcing through offer acceptance, including stakeholder management and closing
Expert sourcing abilities — proficient in GitHub, Google Scholar, LinkedIn Recruiter, Boolean search, and signal-based identification of niche technical profiles
Operate effectively in fast-paced, high-volume environments — able to manage multiple complex searches without sacrificing quality
Strong interpersonal skills, crisp communication, and a get-things-done mindset
Genuine enthusiasm for AI and a desire to work in an environment where new tools and workflows are constantly emerging

Job Responsibility

Leading the full recruitment cycle for technical roles — sourcing, interviewing, managing process, and closing top engineering and research talent
Building and executing creative sourcing approaches to uncover high-potential candidates across niche talent pools, from full-stack engineering to developer experience to research
Partnering directly with hiring managers to define roles, refine signals, shape interviews, and ensure a world-class candidate experience
Experimenting with new workflows, AI-driven tools, and innovative recruiting processes to improve speed, quality, and scalability
Analyzing hiring data to inform decisions, optimize funnel performance, and continuously raise the bar for operational excellence
Serving as a trusted talent advisor to leadership and a thoughtful first ambassador to candidates

What we offer

Innovative culture
Growth paths
Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose
Annual company offsite
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend

Fulltime

Staff Machine Learning Researcher

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
A relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

AI Research Engineer - Signal Processing

At Helsing, we deliver AI-based capabilities and the enabling foundation that al...

Location

Germany , Munich; Berlin

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Job Responsibility

Develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios
Contribute to projects and will collaborate with people across several teams and backgrounds
Build in-house solutions for signal processing problems that we face, in the sky or underwater

What we offer

Competitive compensation and stock options
Relocation support
Social and education allowances
Regular team, company events, and all-hands to bring together employees as one team across Europe
A hands-on onboarding program

Fulltime

ML/AI Engineer

Carbon13

Location:
United Kingdom , Edinburgh ▼
London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 07, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML/AI Engineer

Principal ML/AI Software Engineer

Sr.Manager Systems Engineering

Machine Learning Engineering Lead

Staff Machine Learning Engineer

AI/ML Engineer (IoT sphere)

Technical Recruiter

Staff Machine Learning Researcher

AI Research Engineer - Signal Processing

ML/AI Engineer

Carbon13

Location:United Kingdom , Edinburgh ▼London

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 07, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML/AI Engineer

Principal ML/AI Software Engineer

Sr.Manager Systems Engineering

Machine Learning Engineering Lead

Staff Machine Learning Engineer

AI/ML Engineer (IoT sphere)

Technical Recruiter

Staff Machine Learning Researcher

AI Research Engineer - Signal Processing

Location:
United Kingdom , Edinburgh ▼
London

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 07, 2025