Junior Machine Learning Engineer Job at Recraft (London)

New

Senior Machine Learning Engineer

Location

Greece , Athens

Salary:

60000.00 - 65000.00 EUR / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Proven experience designing, building, and deploying production-grade machine learning solutions
Strong Python development skills
Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers
Experience with deep learning frameworks such as PyTorch
Strong knowledge of machine learning libraries including Scikit-learn and XGBoost
Experience working with NLP frameworks such as spaCy and NLTK
Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring
Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions
Passion for staying current with emerging AI technologies and applying them to real-world business challenges
Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders

Job Responsibility

Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives
Lead the research, development, and optimisation of machine learning models for production environments
Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face
Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks
Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation
Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments
Monitor, maintain, and optimise model performance to ensure reliability and scalability in production
Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence
Mentor junior engineers and provide technical leadership across AI and machine learning initiatives
Champion best practices for model development, experimentation, deployment, and ongoing optimisation

Fulltime

New

Senior Full-Stack Software Machine Learning Engineer

Are you an experienced full-stack software engineer with a passion for building ...

Location

France; Switzerland; United States , Bidart; Rolle; Boston

Salary:

Not provided

SOPHiA GENETICS

Expiration Date

Until further notice

Requirements

5-7 years’ experience in the web development field
Bachelor’s degree in Computer Science or Engineering or equivalent professional experience
demonstrated experience in developing reliable web-based services and have a firm grasp on the underlying challenges of releasing web components to production
solid proficiency of front-end framework: React, Next JS, Node, JSX
proficiency in Java for back-end development
solid understanding of backend technologies and microservices architecture
experience with databases like MySQL, MariaDB, and DuckDB, (plus for design and query optimization)
experience with AI use in SDLC
experience with machine learning engineering in a production environment, including building and evaluating RAG pipelines, LLM evaluation methodologies and general lifecycle management
familiarity with Linux environments and GitLab for version control and CI/CD pipelines

Job Responsibility

Lead the development and delivery of web-based solutions that directly support Sophia Genetics’ business objectives in digital healthcare
work closely with product, QA, and cross-functional teams to ensure our platform meets market needs, regulatory standards, and performance goals
deeply understand business needs and translate them into effective technical solutions
develop and optimize web-based services and components, leveraging modern frameworks (React, Next.js, Node.js) and robust backend technologies (Java, microservices)
own and drive the full lifecycle of complex, high-performance software systems
enhance system performance through database optimization (MySQL, MariaDB, DuckDB) and efficient query design
leverage AI and modern tools to enhance SDLC, observability, monitoring, and system intelligence
design, integrate and evolve machine learning components into a production environment, including RAG pipelines and ML model evaluation frameworks
orchestrate cross-functional projects by collaborating with Product, QA, Architecture, and other teams
lead code reviews and mentor junior engineers

What we offer

Sickness and Accident coverage through Helsana
Meal Vouchers at 90CHF PM with our partner cafeteria
a fun and engaging work environment, with Rest & Entertainment space, full stocked free coffee machine and free fruit/snacks
free parking in an easy to access location
a strong social committee

Fulltime

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer, AI Platform

Location

United States; Canada

Salary:

128000.00 - 171000.00 CAD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Machine Learning Engineer

Expected to be an SME, collaborate and manage the team to perform.- Responsible ...

Location

India , Gurugram

Salary:

Not provided

Randstad

Expiration Date

July 26, 2026

Requirements

Proficiency in Machine Learning (ML)
Strong knowledge of machine learning model development, evaluation, and deployment
Familiarity with data preprocessing techniques and feature engineering to optimize model performance
Experience in integrating machine learning models into software applications and systems
Ability to work with large datasets and apply statistical methods to extract meaningful insights

Job Responsibility

Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead efforts to identify and implement process improvements that enhance team productivity and software quality
Mentor junior team members to support their professional growth and integration within the team
Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery

Senior/Lead Machine Learning Engineer

We are currently partnering with several leading technology consultancies and da...

Location

United Kingdom

Salary:

350.00 - 600.00 GBP / Day

Myn

Expiration Date

Until further notice

Requirements

Extensive experience building and deploying machine learning models in production environments
proficiency in Python and major ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
strong understanding of MLOps, CI/CD pipelines, and containerisation technologies (Docker, Kubernetes)
hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure design
ability to design and maintain robust data pipelines (ETL/ELT) and feature stores
proven track record in technical leadership, mentoring, and guiding engineering teams
deep knowledge of ML system design, software architecture, and performance optimization
strong communication skills with experience in stakeholder management and cross-functional collaboration

Job Responsibility

Bridge the gap between data science and software engineering, taking ownership of the end-to-end ML lifecycle from initial architecture and data pipeline construction to model training, deployment, and ongoing monitoring
define technical strategy, implement robust MLOps practices, and optimize infrastructure to ensure scalable and reliable solutions
mentor junior engineers and collaborate closely with cross-functional stakeholders

Senior Machine Learning Engineer

We are looking for a highly motivated Machine Learning Engineer to join the Cust...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
Minimum 6 years of experience in industry with a strong focus on machine learning and optimization
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
Solid understanding of statistical analysis and feature engineering techniques
Excellent communication and collaboration skills
Ability to work independently and take ownership of projects
Experience using SQL in a production environment
Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
Experience with dashboarding and using data visualization tools
Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar

Job Responsibility

Design, develop, and productionize machine learning (ML) solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
Productionize and deploy these models for real-world applications in customer support
Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
Review code and designs of teammates, providing constructive feedback
Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
Mentor junior engineers

Fulltime

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Junior Machine Learning Engineer

Job Description

Job Responsibility

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