AI / ML Engineer Job at Orbis Consultants (London)

Ai / Ml Engineer

Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build ...

Location

United States , Boston

Salary:

130000.00 - 180000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models
Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment
Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration
Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams
Familiarity with data pipelines, model evaluation, and real-world ML workflows

Job Responsibility

Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning
Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence
Develop AI systems deployed across robotics, construction, energy, and telecommunications
Work closely with engineers and annotators to expand and improve high-quality training datasets
Support and scale machine learning operations (MLOps)
Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment

What we offer

Competitive salary based on experience, plus great perks
Join a YC-backed startup shaping the future of robotics

Fulltime

Senior ML Engineer - AI Platform & Agents

We are building agentic AI into the core of our product and need someone who can...

Location

France , Bordeaux

Salary:

Not provided

PhantomBuster

Expiration Date

Until further notice

Requirements

5+ years of experience as an ML Engineer, AI Engineer, or Software Engineer with a strong AI focus
Hands-on experience building AI agents using frameworks such as LangChain, Amazon Bedrock AgentCore, or similar
Strong understanding of LLM-based systems: prompt engineering, agent orchestration, tool use, and multi-agent workflows
Familiarity with MCP (Model Context Protocol) and experience integrating agents with external APIs or data sources
Experience working with Agents for Amazon Bedrock AgentCore or similar agent setups
Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
Experience with cloud platforms for model training and deployment, especially AWS
Proficiency in Python, including LangChain, and standard data libraries (Pandas, NumPy, etc.)
Fluency in English

Job Responsibility

Define and evolve our infrastructure to allow for better ML and AI capabilities, with a focus on LLM-based and agentic systems
Contribute to the development and expansion of our agentic AI framework powered by AWS Bedrock, enabling both internal tools and customer-facing features
Identify, source, and refine datasets to allow tuning models, powering retrieval pipelines, or expanding agentic workflows
Pre-process data by using techniques such as data cleaning, feature engineering, and transformation
Train, evaluate, and deploy both LLM-based systems and traditional machine learning models into production
Monitor, debug, and continuously improve deployed models and AI tools
Support machine learning usage throughout the company, including selecting the right modeling approach for the use case (LLM vs. traditional ML)
Support the integration and use of LLMs, including approaches such as fine-tuning, prompt tuning, and retrieval-augmented generation (RAG), to improve accuracy

What we offer

International team
Fun team building events
€40/month for remote work
Flexible working time
Home office budget up to €1500
100% of an Alan Blue subscription
Lunch vouchers - €8 (50% The Phantom Company) / worked day
Partnership with MokaCare
€70 a month benefit for entertainment expenses
Book Allowance and Sharing Program

Ai Ml Engineer

AI/ML Engineer | Mangalore / Hybrid India | Full-Time. About the Opportunity: Ab...

Location

India , Mangalore

Salary:

Not provided

Abotts

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, or a related field
2+ years of experience designing and deploying AI/GenAI solutions in production environments
Proficiency in Python
hands-on experience with TensorFlow, PyTorch, and NLP frameworks
Demonstrated experience training large language models and managing compute infrastructure
Familiarity with NoSQL and Vector databases
Working knowledge of DevOps practices: Git, CI/CD, Linux scripting
Experience with GenAI evaluation and testing frameworks
Prior experience leading or mentoring engineers

Job Responsibility

Architect and execute the roadmap for AI, GenAI, and Agentic AI capabilities
Lead and mentor a small engineering team — translating vision into actionable plans with clear ownership
Deliver rapid, high-quality implementations in a fast-paced, dynamic startup environment
Collaborate cross-functionally with hardware and product teams to accelerate go-to-market timelines
Contribute to the company's thought leadership through white papers and patent filings

What we offer

Competitive compensation and may be meaningful early-stage equity (ESOPs)
The chance to shape AI strategy at a company redefining an entire industry
High-trust, high-accountability culture that rewards initiative
Flexible hybrid work environment
Full company details shared at first conversation stage

Fulltime

Senior ML Engineer - AI Platform & Agents

Join PhantomBuster as a Senior ML Engineer to build agentic AI with AWS Bedrock,...

Location

France; Spain; Portugal

Salary:

Not provided

PhantomBuster

Expiration Date

Until further notice

Requirements

5+ years of experience as an ML Engineer, AI Engineer, or Software Engineer with a strong AI focus
Hands-on experience building AI agents using frameworks such as LangChain, Amazon Bedrock AgentCore, or similar
Strong understanding of LLM-based systems: prompt engineering, agent orchestration, tool use, and multi-agent workflows
Familiarity with MCP (Model Context Protocol) and experience integrating agents with external APIs or data sources
Experience working with Agents for Amazon Bedrock AgentCore or similar agent setups
Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
Experience with cloud platforms for model training and deployment, especially AWS
Proficiency in Python, including LangChain, and standard data libraries (Pandas, NumPy, etc.)
Fluency in English

Job Responsibility

Define and evolve our infrastructure to allow for better ML and AI capabilities, with a focus on LLM-based and agentic systems
Contribute to the development and expansion of our agentic AI framework powered by AWS Bedrock, enabling both internal tools and customer-facing features
Identify, source, and refine datasets to allow tuning models, powering retrieval pipelines, or expanding agentic workflows
Pre-process data by using techniques such as data cleaning, feature engineering, and transformation
Train, evaluate, and deploy both LLM-based systems and traditional machine learning models into production
Monitor, debug, and continuously improve deployed models and AI tools
Support machine learning usage throughout the company, including selecting the right modeling approach for the use case (LLM vs. traditional ML)
Support the integration and use of LLMs, including approaches such as fine-tuning, prompt tuning, and retrieval-augmented generation (RAG), to improve accuracy

What we offer

Fully remote working environment (France, Spain, or Portugal)
Real ownership: you will define how agentic AI is built at PhantomBuster, not follow someone else's decisions
Freedom to research and adopt new technologies as the space evolves & to make an impact at a small, self-funded, and profitable tech startup by laying the foundation for machine learning and AI
Collaborative and open-minded culture based on rationality, humility, honesty, and long-term thinking
International team
Fun team building events
€40/month for remote work
Flexible working time
Home office budget up to €1500
100% of an Alan Blue subscription (french-based contracts)

Fulltime

AI ML Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer
Proficient in every aspect of the data pipeline, including: Data cleaning and preprocessing
Model Selection
Feature engineering
Model training and retraining
Model evaluation
Moving models into productions
Building APIs
Python expertise

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

Senior AI / ML Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , London

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
perform robust validation and error analysis
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Strong engineering skills in Python (typing, testing, packaging)
experience with version control (Git) and code review workflows

Job Responsibility

Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
Selecting and preparing data pipelines for model training and inference
Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

Ai Ml Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
Proficient in every aspect of the data pipeline, including Data cleaning and preprocessing, Model Selection, Feature engineering, Model training and retraining, Model evaluation, Moving models into productions, Building APIs
Python expertise
Familiar with FastAPI, Flask
Some python library or libraries for calling LLMs (LangChain or similar)
Data manipulation libraries (Pandas, Numpy, Scipy)
NLP Text processing and parsing library experience (SpaCy, NLTK, TextBlob
Deep Learning Familiarity with model binaries and inferencing, experience with HuggingFace, PyTorch, or Tensorflow a plus
LLMs Able to write prompts Understanding of the fundamentals of Language Modeling

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

AI ML Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

AI ML Engineer
6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
Proficient in every aspect of the data pipeline, including: Data cleaning and preprocessing
Model Selection
Feature engineering
Model training and retraining
Model evaluation
Moving models into productions
Building APIs

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

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