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

Senior ML/AI Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Comfortable with standard ML algorithms and underlying math
Practical experience with solving classification and regression tasks in general, feature engineering
Practical experience with ML models in production: orchestrating workflows, monitoring metrics
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
Python expertise, Docker
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, GCP, ECS, EMR/Glue, S3, Lambda, SQS)
English level - Upper Intermediate
Excellent communication and problem-solving skills

Job Responsibility

Create ML models from scratch or improve existing models
Create ML/AI pipelines that include custom models or APIs as part of the processing
Collaborate with the engineering team, data scientists, and product managers on production models
Develop experimentation roadmap
Set up a reproducible experimentation environment and maintain experimentation pipelines
Monitor and maintain ML models in production to ensure optimal performance
Write clear and comprehensive documentation for ML models, processes, and pipelines

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

Senior ML/AI Developer

We are seeking a highly skilled ML/AI Developer to join our growing team in Indi...

Location

India , Hyderabad

Salary:

Not provided

RADcube

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in ML Engineering (preferred) or Data Science
5–6 years of experience in ML/AI engineering or data science roles
Strong Python programming skills
Solid knowledge of algorithms like KNN, SVM, Naive Bayes
Proven work with NLP, CNNs, LLMs, and deep learning architectures
Experience working with cloud platforms – AWS or Azure
Prior experience integrating chatbots or conversational AI in production

Job Responsibility

Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs
Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms
Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs
Preprocess and engineer datasets using Python for training and evaluation
Deploy AI models and services using AWS or Azure
Collaborate cross-functionally with engineering, product, and DevOps teams
Explore and apply RLHF, prompt engineering, and newer AI optimization strategies
Follow Agile development methodology and participate in sprints

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

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

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

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

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Carbon13

Location:United Kingdom , Edinburgh ▼London

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

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Job Posted:December 07, 2025

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