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senior machine learning engineer

PHAZERO

<div>The Role
PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
leadership role in architecting and scaling real-world AI products. You will be responsible for
contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
moving beyond individual experimentation to leading the deployment of robust,
production-grade models. You will serve as a technical mentor for the team, driving best
practices in Software Engineering, MLOps, and LLM optimization to power next-generation
user experiences.
Core responsibilities<ul><li>Architect and Optimize Systems: Design and oversee the development of scalable</li></ul>
data pipelines for complex model training and real-time inference.<ul><li>Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of</li></ul>
Large Language Models (LLMs) specifically for production-level Agentic Digital
Assistants.<ul><li>Production &amp; Infrastructure Leadership: Direct the deployment of open-source and</li></ul>
proprietary models on remote servers, ensuring high performance, low latency, and
cost-efficiency.<ul><li>Strategic Integration: Work closely with cross-functional engineering leads to</li></ul>
integrate sophisticated ML components into broader system architectures.<ul><li>Model Governance: Establish robust monitoring frameworks to track model</li></ul>
performance and implement automated retraining loops to maintain quality and
relevance.<ul><li>R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new</li></ul>
techniques into actionable strategies for the team.
What we value<ul><li>Deep LLM Expertise: Extensive experience with transformers and advanced</li></ul>
techniques in fine-tuning, prompt engineering, and rigorous model evaluation.<ul><li>Senior Production Track Record: A proven history of taking complex ML projects</li></ul>
from research notebooks to successful, large-scale production environments.<ul><li>Expert Programming &amp; Framework Knowledge: Mastery of Python and deep</li></ul>
learning.<ul><li>MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,</li></ul>
Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.<ul><li>Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while</li></ul>
maintaining a long-term technical vision for product growth.<ul><li>Collaborative Leadership: Strong communication skills with the ability to lead</li></ul>
remote-first teams and foster a culture of technical excellence and inclusion</div>

Senior Machine Learning Engineer

PhazeRo

<div>
 The Role
 
 
 PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
 
 
 leadership role in architecting and scaling real-world AI products. You will be responsible for
 
 
 contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
 
 
 moving beyond individual experimentation to leading the deployment of robust,
 
 
 production-grade models. You will serve as a technical mentor for the team, driving best
 
 
 practices in Software Engineering, MLOps, and LLM optimization to power next-generation
 
 
 user experiences.
 
 
 Core responsibilities
 
 
 <ul>
 <li>
 Architect and Optimize Systems: Design and oversee the development of scalable
 
 
 </li>
 </ul>
 data pipelines for complex model training and real-time inference.
 
 
 <ul>
 <li>
 Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of
 
 
 </li>
 </ul>
 Large Language Models (LLMs) specifically for production-level Agentic Digital
 
 
 Assistants.
 
 
 <ul>
 <li>
 Production &amp; Infrastructure Leadership: Direct the deployment of open-source and
 
 
 </li>
 </ul>
 proprietary models on remote servers, ensuring high performance, low latency, and
 
 
 cost-efficiency.
 
 
 <ul>
 <li>
 Strategic Integration: Work closely with cross-functional engineering leads to
 
 
 </li>
 </ul>
 integrate sophisticated ML components into broader system architectures.
 
 
 <ul>
 <li>
 Model Governance: Establish robust monitoring frameworks to track model
 
 
 </li>
 </ul>
 performance and implement automated retraining loops to maintain quality and
 
 
 relevance.
 
 
 <ul>
 <li>
 R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new
 
 
 </li>
 </ul>
 techniques into actionable strategies for the team.
 
 
 What we value
 
 
 <ul>
 <li>
 Deep LLM Expertise: Extensive experience with transformers and advanced
 
 
 </li>
 </ul>
 techniques in fine-tuning, prompt engineering, and rigorous model evaluation.
 
 
 <ul>
 <li>
 Senior Production Track Record: A proven history of taking complex ML projects
 
 
 </li>
 </ul>
 from research notebooks to successful, large-scale production environments.
 
 
 <ul>
 <li>
 Expert Programming &amp; Framework Knowledge: Mastery of Python and deep
 
 
 </li>
 </ul>
 learning.
 
 
 <ul>
 <li>
 MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,
 
 
 </li>
 </ul>
 Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.
 
 
 <ul>
 <li>
 Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while
 
 
 </li>
 </ul>
 maintaining a long-term technical vision for product growth.
 
 
 <ul>
 <li>
 Collaborative Leadership: Strong communication skills with the ability to lead
 
 
 </li>
 </ul>
 remote-first teams and foster a culture of technical excellence and inclusion
</div>

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing. We are hiring
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Prysmian Group

<div><div>Key Deliverables:</div><div></div><div>
STRANDING</div><ul><li>
Operating any size of wire stranding machine to produce overhead line / cable conductors and with any new Specifications.</li><li>
Proper loading of wires baskets/ in bobbins of stranding</li><li>
Proper setting the conductors as per the CMS in stranding machine</li><li>
Proper positioning the lay / lay directions in each cage</li><li>
Loading the take-up drums and operating the machine to produce conductors.</li><li>
Proper unloading the finished conductors and proper tagging.</li><li>
Cold pressure &amp; butt-welding techniques of wires</li><li>
Operating the Overhead line conductor machines as per works instruction &amp; keeping proper record in the logbook</li><li>
Operation of Overhead crane &amp; forklift for the movement of coils, baskets &amp; drums.</li><li>
Operation of Overhead crane &amp; forklift for the movement of, baskets &amp; drums.</li><li>
Operator will work on a shift basis, working overtime as and when required.</li><li>
Maintain good attendance record &amp; follow all company rules and regulations.</li><li>
The Operator must highlight any product or material defect/non-conformances to the Supervisor / Engineer.</li></ul><ul><li>
Follow safety, quality system procedure, practices and maintain the housekeeping of workplace as per OAPIL IMS and OAPIL HSE Standard.</li><li>
Management/Team leader/Direct Line report can assign you any related task as deemed fit in process operation area in order to enhance the operating skills and reserves the right to transfer you other departments when needed to develop multitasking.</li></ul><div>
Qualifications:</div><ul><li>
Diploma/High School with experience in a conductor Manufacturing Company</li><li>
3-4 Years&rsquo; experience in conductor line process.</li></ul><div>
Skills/Knowledge:</div><ul><li>
Ability to independently set the Machines, Machine operation and Computer entry.</li><li>
Proficient in English language (read, write &amp; speak).</li><li>
Technically very competent, Skilled in conductor operation</li><li>
Knowledgeable in conductor manufacturing machines and able to produce conductors.</li><li>
Overhead crane operation process.</li><li>
Rod / Wire welding skills.</li><li>
Creative thinking in order to optimize the productivity.</li></ul><div>
Experience:</div><ul><li>
3+ years of similar experience in related industries within Middle East.</li></ul><div></div><div>
Prysmian , as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&amp;I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.</div><div> 
All Managers and HRs in Prysmian are responsible for ensuring DE&amp;I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.</div><div></div><div>
Visit our <div>DE&amp;I Page</div> to learn more about Prysmian's commitments.</div><div></div><div>
Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.</div></div><div></div>

OHLC Production Operator

Anotech

<div>
 
 
 Senior Project Engineer
 
 
 
 📍 Sohar, Oman
 
 
 
 
 
 🔎 Role Overview
 
 
 Reporting directly to the Package Manager, the Senior Project Engineer will be responsible for overseeing and coordinating all assigned area activities across the full EPCIC lifecycle &mdash; from procurement through construction, installation, pre-commissioning, and commissioning.
 
 
 The role requires strong leadership, proactive schedule management, and close coordination with contractors, engineering disciplines, QA/QC, procurement, and commissioning teams to ensure safe and timely project execution.
 
 
 
 
 
 🛠 Key Responsibilities
 
 <ul>
 <li>
 Demonstrate exemplary HSE leadership and ensure compliance with project safety standards.
 </li>
 <li>
 Manage assigned scope in line with project specifications, contractual requirements, and statement of requirements.
 </li>
 <li>
 Coordinate EPCIC contractor activities to ensure smooth execution of subcontracts and equipment packages.
 </li>
 <li>
 Monitor project schedule and key milestones; anticipate risks and propose mitigation plans.
 </li>
 <li>
 Oversee fabrication, integration, installation, pre-commissioning, and commissioning activities.
 </li>
 <li>
 Ensure proper technical coordination within the PMT and with discipline leads.
 </li>
 <li>
 Follow up procurement activities to meet Required-On-Site (ROS) dates.
 </li>
 <li>
 Interface with QA/QC and commissioning teams for seamless phase transitions.
 </li>
 <li>
 Support brownfield integration and SIMOPS coordination with other stakeholders.
 </li>
 <li>
 Promote a &ldquo;no change&rdquo; mindset to protect budget, schedule, safety, and quality.
 </li>
 <li>
 Lead and participate in weekly/monthly contractor meetings.
 </li>
 </ul>
 
 
 
 
 🎓 Qualifications &amp; Experience
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering (or equivalent)
 </li>
 <li>
 Minimum 15 years&rsquo; experience in offshore oil &amp; gas projects
 </li>
 <li>
 At least 5 years&rsquo; experience as Project/Area Engineer within an Operator&rsquo;s team
 </li>
 <li>
 10+ years&rsquo; experience in large multinational project taskforce environments
 </li>
 <li>
 Strong background in:
 </li>
 <li>
 Offshore facilities
 </li>
 <li>
 Structural &amp; piping construction
 </li>
 <li>
 Pre-commissioning and commissioning coordination
 </li>
 <li>
 Familiarity with international oil &amp; gas specifications and standards
 </li>
 <li>
 Fluent English
 </li>
 <li>
 Strong leadership and communication skills
 </li>
 <li>
 Computer literate
 </li>
 <li>
 Valid H2S OPITO and T-BOSIET certifications
 </li>
 </ul>
 
 
</div>

Senior Project Engineer

MENA HR Solutions LLC (IBD Group)

<div>
 
 Senior Process Engineer &ndash; Pelletizing
 
 
 
 
 
 
 We are currently supporting a leading industrial organization in Oman operating within large-scale mineral processing and pelletizing operations. The company is looking to hire an experienced
 
 Senior Process Engineer &ndash; Pelletizin
 
 g to drive process optimization, operational efficiency, and continuous improvement initiatives within the pelletizing plant
 
 
 .This role plays a critical part in improving plant performance, supporting operational stability, and implementing advanced process control and optimization solutions
 
 
 
 
 
 .
 
 Key Responsibiliti
 
 <ul>
 <li>
 esLead optimization of pelletizing and balling process performance to improve productivity and product qualit
 </li>
 <li>
 y.Analyze operational data and KPIs to identify improvement opportunities across throughput, consumption, and emission
 </li>
 <li>
 s.Support plant troubleshooting during operational disturbances, start-ups, and shutdown
 </li>
 <li>
 s.Implement process control and automation enhancements using optimization system
 </li>
 <li>
 s.Conduct root cause analysis (RCA) for process deviations and operational incident
 </li>
 <li>
 s.Prepare technical reports including process analysis, mass and energy balance
 </li>
 <li>
 s.Collaborate with operations, maintenance, and quality teams to ensure efficient plant operation
 </li>
 <li>
 s.Participate in technical evaluations, investment studies, and improvement project
 </li>
 <li>
 s.Ensure compliance with HSE and environmental standard
 </li>
 <li>
 s.Mentor junior engineers and support knowledge development initiative
 </li>
 </ul>
 
 
 
 
 s.
 
 Requireme
 
 <ul>
 <li>
 ntsBachelor&rsquo;s or Master&rsquo;s degree in Chemical Engineering, Process Engineering, or related discipli
 </li>
 <li>
 ne.8 to 10 years of experience in process engineering within pelletizing or mineral processing operatio
 </li>
 <li>
 ns.Strong understanding of mixing, balling, and induration process
 </li>
 <li>
 es.Experience working with process optimization and control syste
 </li>
 <li>
 ms.Strong analytical and troubleshooting capabiliti
 </li>
 </ul>
 
 
 
 es.
</div>

Senior Process Engineer – Pelletizing

<div>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 1-3 years of experience in Data Science, Analytics, or a related quantitative role
 </li>
 <li>
 Strong ability to translate business problems into structured data problems and analytical solutions
 </li>
 <li>
 Experience working with cross-functional stakeholders (e.g., Marketing, Product, Operations) to define KPIs, hypotheses, and success metrics
 </li>
 <li>
 Demonstrated ability to take models from experimentation to production environments
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in Python
 </li>
 <li>
 Solid understanding of machine learning fundamentals (supervised and unsupervised learning, model evaluation, feature engineering)
 </li>
 <li>
 Experience building and validating models such as:
 
 
 </li>
 </ul>
 Customer segmentation (clustering, behavioral profiling)
 
 
 Churn prediction and retention modeling
 
 
 Propensity modeling and marketing attribution
 
 
 <ul>
 <li>
 Experience with SQL and working with structured and semi-structured data
 </li>
 <li>
 Familiarity with data visualization and BI tools (e.g., Power BI, Tableau, Looker)
 </li>
 <li>
 Ability to generate actionable business insights from data, not just models
 
 
 </li>
 </ul>
 
 Production &amp; Engineering Mindset
 
 
 
 <ul>
 <li>
 Experience deploying models into production (APIs, batch pipelines, or integration with applications)
 </li>
 <li>
 Understanding of MLOps fundamentals (model versioning, monitoring, retraining workflows)
 </li>
 <li>
 Experience with Git and collaborative development workflows
 </li>
 <li>
 Experience working with cloud environments (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Business &amp; Analytical Thinking
 
 
 
 <ul>
 <li>
 Strong problem-structuring skills and hypothesis-driven thinking
 </li>
 <li>
 Ability to design experiments (A/B testing) and measure marketing impact
 </li>
 <li>
 Understanding of marketing analytics concepts (CAC, LTV, funnels, cohorts, retention curves)
 </li>
 <li>
 Ability to clearly communicate findings to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Strong ownership mindset and ability to work independently
 </li>
 <li>
 Curiosity and proactive learning attitude
 </li>
 <li>
 Detail-oriented with high standards for data quality and analytical rigor
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 </ul>
</div>

Data Scientist

Explore 182+ Senior machine learning engineer in Seeb this March. Find roles across top companies and apply now to boost your career.

182 senior machine learning engineer jobs In Seeb

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

OHLC Production Operator

Senior Project Engineer

Senior Process Engineer – Pelletizing

Data Scientist